Dry Cleaning Industry Bundle
U.S. & Puerto Rico · 18,767 locations
18,767 dry cleaner locations in every state, Washington DC and Puerto Rico in one CSV: the 27 chain lists, each from the chain's own store locator, and 16,550 independent and regional dry cleaners.
More about this list
By owner: Procter & Gamble's Tide Cleaners 1,117 (225 stores and their lockers, concierge points, laundromats and campus trucks); Mulberrys Garment Care 249; Clean Franchise Brands 185 (Martinizing 114, Lapels 71); Comet Cleaners 125; ZIPS Cleaners 73; CD One Price Cleaners 68; and 20 regional chains from Jack Brown Cleaners (43) to Model Cleaners (10). California has 2,547, Texas 2,488, Florida 1,527, New York 1,379 and Illinois 1,005. siteType names what every row is: 16,185 stores, 869 plants, 584 drop-offs, 975 lockers, 134 concierge points, 14 laundromats, 5 campus trucks and 1 restoration center. 2,193 rows carry the Texas, Florida or North Carolina register's plant or drop-off, solvent and owner of record, and 3,229 their EPA registry id. Each row keeps every field its source publishes, so the file is wide; brand says which list a row comes from.
18,767Locations
555Data Fields
October 8, 2026File built
The file has all 18,767 locations 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.
∑What's in this bundle
One CSV. Every row tagged with a brand column, so the 28 networks stay separable.
| Independent | 16,550 locations |
| Tide Cleaners | 1,117 locations |
| Mulberrys Garment Care | 249 locations |
| Comet Cleaners | 125 locations |
| Martinizing | 114 locations |
| ZIPS Cleaners | 73 locations |
| Lapels | 71 locations |
| CD One Price Cleaners | 68 locations |
| Jack Brown Cleaners | 43 locations |
| Pride Cleaners | 41 locations |
| Anton's Cleaners | 36 locations |
| OXXO Care Cleaners | 33 locations |
| Sun Country Cleaners | 28 locations |
| Pilgrim Dry Cleaners | 27 locations |
| Starcrest Cleaners | 22 locations |
| Classic Cleaners (Indianapolis) | 18 locations |
| Kona Cleaners | 16 locations |
| Klinke Cleaners | 15 locations |
| Al Phillips the Cleaner | 15 locations |
| Nu-Yale Cleaners | 15 locations |
| Puritan Cleaners | 14 locations |
| Dependable Cleaners | 12 locations |
| Peerless Cleaners | 12 locations |
| D.O. Summers Cleaners | 11 locations |
| Crest Advanced Dry Cleaners | 11 locations |
| In The Bag Cleaners | 11 locations |
| Yale Cleaners | 10 locations |
| Model Cleaners | 10 locations |
| Total | 18,767 locations |
$289 for the file, one purchase and one download. Buying the 28 datasets one at a time costs $322.
≡Sample Data Preview
| name | address | city | state | zip | phone | website | brand | brands at location | access type | address label | address note | address quality | after hours detail | after hours feature | all phones | all store hours | also listed on | alteration hours | always open247 | any garment price | app apple store | app google play | area | area label | area served | area table address | areas served | attended hours | badges | card label | city area | cleaning process | coin laundromat on site | coin laundry hours | coord source | county | county fips | county note | cross street | delivery flag | delivery partner | description | directions url | directory phone | drive thru | dry clean any garment price | email url | epa registry id | express24 hour drop | express drop off via | ez drop247 drop box | facebook url | faqs | features | first registered year | former name | free pickup delivery | fund eligibility | geo precision | geocode match | google maps url | google place id | google rating | google url | green earth cleaning | gross receipts band | group label | has247 kiosk | has247 service | has24 hour drop box | has24 hour drop off | has24 hr drop box | has alterations | has drive thru | has drop off | has kiosk | has laundromat | has pickup lockers | has tailor | headline | heroes discount | holiday hours | hours | hours are attended hours | hours label | hours note | hours schema | hours scope | hours fri | hours mon | hours sat | hours sun | hours thu | hours tue | hours wed | in always open kiosk list | individually owned | instagram url | is corporate headquarters | is main store | is public | kiosk247 | kiosk coming soon | kiosk hours | kiosk page city | laundromat hours | lobby hours | location label | location name | location note | location offers | location services | location type | locations with same name | locations with same website | locator category | locator counter service | locator hours | locator id | locator notes | locator pickup delivery | locator service filters | locator shows street | locator title | locator type | manager | manager contacts | manager phone | managers | map address | map link | map marker name | map url | marker address | marker created | marker updated | market | menu group | mobile | my maps latitude | my maps longitude | naics | naics code | naics title | neighborhood | note | notes | on locator map | on store locator | open247 | open24 hours | open sunday | operating brand | overture brand | overture category | overture confidence | overture id | overture release | overture sources | overture updated | owner email | owner name | owner phone | page address | page hours | page last modified | page modified | page published | parent company | parent organization | parent ticker | perc statement | phone label | pickup delivery | post published | price list | price range | price area rug cleaning | price blankets comforters | price boot cleaning | price dry cleaning | price laundered shirts | price leather cleaning | price napkins | price quinceanera preservation | price suede cleaning | price tablecloths | price wash fold laundry | price wedding dress preservation | published address | published zip | reg epa-echo airflag | reg epa-echo airids | reg epa-echo airnames | reg epa-echo acs population density | reg epa-echo active lower48 | reg epa-echo caa3yr compl qtrs history | reg epa-echo caacompliance status | reg epa-echo caadate last formal action | reg epa-echo caadays last evaluation | reg epa-echo caaevaluation count | reg epa-echo caaformal action count | reg epa-echo caahpv flag | reg epa-echo caainformal count | reg epa-echo caalast penalty amt | reg epa-echo caalast penalty date | reg epa-echo CAANAICS | reg epa-echo caapenalties | reg epa-echo caapermit types | reg epa-echo caaqtrs with NC | reg epa-echo caasics | reg epa-echo cwa13qtrs compl history | reg epa-echo CWA3 yr qncr codes | reg epa-echo cwacompliance status | reg epa-echo cwacompliance tracking | reg epa-echo cwadate last formal action | reg epa-echo cwadays last inspection | reg epa-echo cwainspection count | reg epa-echo cwalast penalty amt | reg epa-echo cwalast penalty date | reg epa-echo CWANAICS | reg epa-echo cwapermit types | reg epa-echo cwaqtrs with NC | reg epa-echo cwasics | reg epa-echo cwasncflag | reg epa-echo census block group | reg epa-echo curr sv flag | reg epa-echo curr vio flag | reg epa-echo dfr url | reg epa-echo ea5yr flag | reg epa-echo eff charts flag | reg epa-echo eis flag | reg epa-echo eis ids | reg epa-echo eis names | reg epa-echo fac3yr compliance history | reg epa-echo fac accuracy meters | reg epa-echo fac chesapeake bay flg | reg epa-echo fac collection method | reg epa-echo fac compliance status | reg epa-echo fac county | reg epa-echo fac date last formal act EPA | reg epa-echo fac date last formal act st | reg epa-echo fac date last formal action | reg epa-echo fac date last informal act EPA | reg epa-echo fac date last informal act st | reg epa-echo fac date last informal action | reg epa-echo fac date last inspection | reg epa-echo fac date last inspection EPA | reg epa-echo fac date last inspection state | reg epa-echo fac date last penalty | reg epa-echo fac days last inspection | reg epa-echo fac derived cb2010 | reg epa-echo fac derived cd113 | reg epa-echo fac derived huc | reg epa-echo fac derived rad wbdhu12 | reg epa-echo fac derived rad wbdhu12 name | reg epa-echo fac derived rad wbdhu8 | reg epa-echo fac derived rad wbdhu8 name | reg epa-echo fac derived reservation tribes | reg epa-echo fac derived stcty FIPS | reg epa-echo fac derived tribes | reg epa-echo fac derived WBD | reg epa-echo fac derived wbdhu12 name | reg epa-echo fac derived wbdhu8 | reg epa-echo fac derived wbdhu8 name | reg epa-echo fac derived zip | reg epa-echo fac eparegion | reg epa-echo fac fipscode | reg epa-echo fac federal flg | reg epa-echo fac formal action count | reg epa-echo fac imp water flg | reg epa-echo fac indian cntry flg | reg epa-echo fac indian spatial flg | reg epa-echo fac informal count | reg epa-echo fac inspection count | reg epa-echo fac last penalty amt | reg epa-echo fac map flg | reg epa-echo fac map icon | reg epa-echo fac myrtk universe | reg epa-echo fac naicscodes | reg epa-echo fac naicsdescs | reg epa-echo fac naa flag | reg epa-echo fac penalty count | reg epa-echo fac percent minority | reg epa-echo fac programs with SNC | reg epa-echo fac qtrs with NC | reg epa-echo fac reference point | reg epa-echo fac siccodes | reg epa-echo fac sicdescs | reg epa-echo fac sncflg | reg epa-echo fac std county name | reg epa-echo fac total penalties | reg epa-echo fac us canada border flg | reg epa-echo fac us mex border flg | reg epa-echo fec case ids | reg epa-echo fec last case date | reg epa-echo ghgflag | reg epa-echo has poll rpt | reg epa-echo infea5yr flag | reg epa-echo insp5yr flag | reg epa-echo lower48 | reg epa-echo maint pollutants naa | reg epa-echo maint standards naa | reg epa-echo maint status naa | reg epa-echo npdesflag | reg epa-echo npdesids | reg epa-echo npdesnames | reg epa-echo na pollutants naa | reg epa-echo na standards naa | reg epa-echo na status naa | reg epa-echo naa categories | reg epa-echo naa pollutants | reg epa-echo percent below lowincome3mile | reg epa-echo percent people of color | reg epa-echo rcra3yr compl qtrs history | reg epa-echo rcracompliance status | reg epa-echo rcradate last formal action | reg epa-echo rcradays last evaluation | reg epa-echo rcraflag | reg epa-echo rcraformal action count | reg epa-echo rcraids | reg epa-echo rcrainformal count | reg epa-echo rcrainspection count | reg epa-echo rcralast penalty amt | reg epa-echo rcralast penalty date | reg epa-echo RCRANAICS | reg epa-echo rcranames | reg epa-echo rcrapenalties | reg epa-echo rcrapermit types | reg epa-echo rcraqtrs with NC | reg epa-echo rcrasncflag | reg epa-echo sdwasncflag | reg epa-echo sdwisflag | reg epa-echo score | reg epa-echo sems flag | reg epa-echo sems ids | reg epa-echo sems names | reg epa-echo source ID | reg epa-echo triflag | reg epa-echo triids | reg epa-echo trinames | reg epa-echo trireporter in past | reg epa-echo tribal flag | reg epa-echo tsca flag | reg epa-echo tsca ids | reg epa-echo tsca names | reg epa-echo viol flag | reg fl-dep account owner address | reg fl-dep account owner city | reg fl-dep account owner contact | reg fl-dep account owner id | reg fl-dep account owner name | reg fl-dep account owner phone | reg fl-dep account owner start date | reg fl-dep account owner state | reg fl-dep account owner zip | reg fl-dep county | reg fl-dep fac status | reg fl-dep fac type | reg fl-dep facility owner address | reg fl-dep facility owner city | reg fl-dep facility owner contact | reg fl-dep facility owner id | reg fl-dep facility owner name | reg fl-dep facility owner phone | reg fl-dep facility owner start date | reg fl-dep facility owner state | reg fl-dep facility owner zip | reg fl-dep good samaritan address | reg fl-dep good samaritan city | reg fl-dep good samaritan contact | reg fl-dep good samaritan id | reg fl-dep good samaritan name | reg fl-dep good samaritan phone | reg fl-dep good samaritan start date | reg fl-dep good samaritan state | reg fl-dep good samaritan zip | reg fl-dep property owner address | reg fl-dep property owner city | reg fl-dep property owner contact | reg fl-dep property owner id | reg fl-dep property owner name | reg fl-dep property owner phone | reg fl-dep property owner start date | reg fl-dep property owner state | reg fl-dep property owner zip | reg fl-dep tank operator address | reg fl-dep tank operator city | reg fl-dep tank operator contact | reg fl-dep tank operator id | reg fl-dep tank operator name | reg fl-dep tank operator phone | reg fl-dep tank operator start date | reg fl-dep tank operator state | reg fl-dep tank operator zip | reg fl-dep tank owner address | reg fl-dep tank owner city | reg fl-dep tank owner contact | reg fl-dep tank owner id | reg fl-dep tank owner name | reg fl-dep tank owner phone | reg fl-dep tank owner start date | reg fl-dep tank owner state | reg fl-dep tank owner zip | reg nc-deq county | reg nc-deq date established | reg nc-deq generator status | reg nc-deq inspector | reg nc-deq inspector phone | reg nc-deq inv address | reg nc-deq inv city | reg nc-deq inv county | reg nc-deq inv facility name | reg nc-deq inv inspector | reg nc-deq inv last inspected | reg nc-deq inv service type | reg nc-deq inv zip | reg nc-deq inventory feb2025 | reg nc-deq machines | reg nc-deq machines halogenated | reg nc-deq machines other | reg nc-deq machines petroleum | reg nc-deq object id | reg nc-deq service type | reg tx-tceq account number | reg tx-tceq billing address | reg tx-tceq billing address line 2 | reg tx-tceq billing state | reg tx-tceq billing zip code | reg tx-tceq billing zip code extension | reg tx-tceq capacity gallons | reg tx-tceq customer number cn | reg tx-tceq expiration date | reg tx-tceq location county | reg tx-tceq location name | reg tx-tceq location type | reg tx-tceq outlet number | reg tx-tceq owners list customer number | reg tx-tceq owners list email | reg tx-tceq owners list latest fiscal year | reg tx-tceq owners list physical name | reg tx-tceq owners list principal name | reg tx-tceq owners list status | reg tx-tceq regulated entity name | reg tx-tceq regulated entity number rn | reg tx-tceq solvent fee status | reg tx-tceq solvent type | reg tx-tceq status year | reg tx-tceq tceq region for location | region | register location type | same building count | same building ids | same building names | same day service | same day service details | schedule pickup button | secondary hours | served from store | service features | service icons | services | shopping center | short bags | sic | sic code | sic code2 | sic title | sic title2 | site type | sitemap subpages | solvent type | sources | specialities | src address2 | src campus campus name | src campus campus short name | src campus default service point id | src days str | src delivery schedule | src description | src dropoff instructions | src email | src interior directions | src is campus | src is employees only | src ll location id | src page store name | src pick up schedule | src pickup instructions | src route id | src service type id | src siteid | src slug | src store id | src store info description | src store info details | src store info region id | src store info staff description | src store info staff name | src store info staff title | src store info url | src store info wf poundage minimum | src website | staff | state area | state register | state register id | status | status note | store code | store features | store label | store name | store number | store page hours | store type | tagline | tailor on site | text phone | twitter url | updated date | wash and fold hours | wash and fold page | wash and fold phone | web email | web facebook | web founded year | web google maps | web hours | web instagram | web legal name | web legal type | web linkedin | web services | web status | web tiktok | web twitter | web whatsapp | web yelp | web youtube | yelp url | zip4 | zip as published | zip on other page | zip source | zips premier | latitude | longitude | country | source id | source url | ||
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| AK Keeping It Clean | 700 W 59th Ave Unit K | Anchorage | AK | 99518 | (907) 301-0743 | https://www.bbb.org/northwest/business-reviews/auto-detailing/ak-keeping-it-clean-llc-in-anchorage-ak-1000060100/#sealclick" | Independent | Independent | complete | Anchorage Municipality | 02020 | https://www.google.com/maps/dir/?api=1&destination=700%20W%2059th%20Ave%20Unit%20K%2C%20Anchorage%2C%20AK%2C%2099518 | keepingitcleanak@gmail.com | https://www.facebook.com/1262023720498615 | source | N | N | store | 1 | 1 | 812320 | Drycleaning and Laundry Services (except Coin-Operated) | dry_cleaning | 0.92 | 042588a4-d971-4a73-8b64-1bc85eab86f9 | 2026-08-19.1-v2 | meta | 2026-08-10 | 7216 | 7212 | Drycleaning Plants, Except Rug Cleaning | Garment Pressing, and Agents for Laundries and Drycleaners | store | Overture Maps | Open | Dry cleaner | 2026-10-08 | not-own-site | 61.167332 | -149.896454 | US | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Euro Fashion Cleaners | 3335 Cobb Pkwy NW Ste 170 | Acworth | GA | 30101 | (770) 974-4440 | Independent | Independent | complete | Cobb County | 13067 | ZIP 30101 spans 4 counties; assigned to the county holding 68% of its land area | https://www.google.com/maps/dir/?api=1&destination=3335%20Cobb%20Pkwy%20NW%20Ste%20170%2C%20Acworth%2C%20GA%2C%2030101 | source | N | N | store | 1 | 812320 | Drycleaning and Laundry Services (except Coin-Operated) | dry_cleaning | 0.92 | 1199af5a-8c15-4388-b85b-a9974d1aec57 | 2026-08-19.1-v2 | Microsoft | 2026-08-10 | 7216 | 7212 | Drycleaning Plants, Except Rug Cleaning | Garment Pressing, and Agents for Laundries and Drycleaners | store | Overture Maps | Open | Dry cleaner | 2026-10-08 | 34.035082 | -84.683659 | US | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Tartan Cleaners | 939 Beards Hill Rd | Aberdeen | MD | 21001 | (410) 272-4247 | http://tartancleaners1.placeweb.site | Independent | Independent | complete | Harford County | 24025 | https://www.google.com/maps/dir/?api=1&destination=939%20Beards%20Hill%20Rd%2C%20Aberdeen%2C%20MD%2C%2021001 | source | N | N | store | 1 | 1 | 812320 | Drycleaning and Laundry Services (except Coin-Operated) | dry_cleaning | 0.92 | 27619944-6058-4e71-99b7-7c8c4a2d55e1 | 2026-08-19.1-v2 | Foursquare | 2026-08-10 | 7216 | 7212 | Drycleaning Plants, Except Rug Cleaning | Garment Pressing, and Agents for Laundries and Drycleaners | store | Overture Maps | Open | Dry cleaner | 2026-10-08 | not-own-site | 39.525166 | -76.180706 | US | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Rainbow Cleaners | 318 Lloyd Rd | Aberdeen Twp | NJ | 07747 | (732) 566-8188 | Independent | Independent | complete | Monmouth County | 34025 | ZIP 07747 spans 2 counties; assigned to the county holding 45% of its land area | https://www.google.com/maps/dir/?api=1&destination=318%20Lloyd%20Rd%2C%20Aberdeen%20Twp%2C%20NJ%2C%2007747 | https://www.facebook.com/594229900971566 | source | N | N | store | 29 | 812320 | Drycleaning and Laundry Services (except Coin-Operated) | Rainbow Cleaners | dry_cleaning | 0.99 | 92e4de20-a834-4b53-a1b6-e9264e6a2a6e | 2026-08-19.1-v2 | meta | 2026-08-10 | 7216 | 7212 | Drycleaning Plants, Except Rug Cleaning | Garment Pressing, and Agents for Laundries and Drycleaners | store | Overture Maps | Open | Dry cleaner | 2026-10-08 | 40.395523 | -74.221561 | US | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Corner Dry Cleaners and Alterations- Kiawah | 217 Gardners Cir | SC | 29455 | (843) 790-4432 | Independent | Independent | missing_city_or_zip | Charleston County | 45019 | https://www.google.com/maps/dir/?api=1&destination=217%20Gardners%20Cir%2C%20SC%2C%2029455 | https://www.facebook.com/100865011355584 | source | Y | N | store | 1 | 812320 | Drycleaning and Laundry Services (except Coin-Operated) | dry_cleaning | 0.866 | e7a11df8-f914-460e-a7ce-9d79497076e0 | 2026-08-19.1-v2 | meta | 2026-08-10 | 7216 | 7212 | Drycleaning Plants, Except Rug Cleaning | Garment Pressing, and Agents for Laundries and Drycleaners | store | Overture Maps | Open | Dry cleaner & tailor | 2026-10-08 | 32.60779 | -80.148098 | US |
Five sample rows; the file you buy has all 555 columns.
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| brand | The brand the location trades under (in the bundle: which of the 28 lists the row comes from; Independent for the independents) | 100% |
| name | The location's own name as its source publishes it | 100% |
| address | Street address | 100% |
| city | City | 100% |
| state | Two-letter state code (DC for Washington, PR for Puerto Rico) | 100% |
| zip | Five-digit ZIP code | 100% |
| phone | Location phone number | 92% |
| latitude | GPS latitude | 100% |
| longitude | GPS longitude | 100% |
| website | The location's own page on the chain's site, or the shop's own website | 64% |
| country | Country code (US) | 100% |
| brands | Every bundle brand listed at the same street address, ZIP and phone; just the row's own brand when no other is there | 100% |
| address_ | How complete the street address is: complete, no house number, po box, missing city or zip or missing | 100% |
| county | County name, from the US Census Bureau county list | 100% |
| county_ | Five-digit county FIPS code | 100% |
| county_ | Set when the ZIP code spans more than one county: which county the row was placed in | 19% |
| directions | A Google Maps directions link to the location | 100% |
| Email address the chain's locator or Overture Maps publishes for the location | 38% | |
| epa | The facility's EPA Facility Registry Service id, from EPA ECHO | 17% |
| The shop's Facebook page, from Overture Maps | 60% | |
| geo_ | How the coordinates were arrived at: source (the publisher's own map point), address (a geocode of the street address), zip centroid or city centroid | 100% |
| has | Y where the shop's name says tailoring or alterations | 88% |
| has | Y where the shop's name says laundromat, coin laundry, wash and fold or self-service | 88% |
| location | What the location is in its source's own words (Tide's Store, Locker or Concierge; store + 24/7 kiosk; a state register's plant or drop-off) | 100% |
| locations | How many rows of the list carry the same name: 1 is a single-site shop, 2 or more a shop name used more than once | 88% |
| locations | How many rows of the list share this website: 2 or more is a multi-site operator; blank without a website | 65% |
| naics | NAICS industry code: 812320, Drycleaning and Laundry Services (except Coin-Operated) | 100% |
| naics | Title of the NAICS code | 100% |
| operating | The brand the chain list itself gives the row (Lapels Cleaners or Lapels Laundromat, Al Phillips Cleaners or Thrift DLux Cleaners, Kona Cleaners or CRDN of Orange County); blank on the independents | 12% |
| overture | The brand Overture Maps tags on the place, where it tags one | 11% |
| overture | The place's Overture Maps category (dry cleaning, laundry service, laundromat, sewing and alterations, tailor) | 84% |
| overture | Overture Maps' confidence that the place exists (0 to 1) | 84% |
| overture | The place's Overture Maps id | 84% |
| overture | The Overture Maps release the row was read from | 84% |
| overture | The open datasets Overture Maps built the place from | 84% |
| overture | When Overture Maps' source last updated the place | 84% |
| owner | Owner of record in the state register (the Texas principal, or the Florida facility or account owner) | 10% |
| parent | The company that owns or franchises the brand, as the chain's own site names it | 12% |
| reg_ | EPA ECHO facility record — Y where the facility has a Clean Air Act program record. Example: "Y" | 17% |
| reg_ | EPA ECHO facility record — its Clean Air Act program ids. Example: "AK0000000202000043" | 12% |
| reg_ | EPA ECHO facility record — the name on its Clean Air Act record. Example: "ONE HOUR FIREWEED DRYCLEANING-EAST FIREW" | 12% |
| reg_ | EPA ECHO facility record — population density around the facility (American Community Survey). Example: "3679.86" | 17% |
| reg_ | EPA ECHO facility record — ECHO's ActiveLower48 flag, as ECHO publishes it. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — Clean Air Act compliance in the last 12 quarters, one character a quarter (_ = no violation). Example: "____________" | 12% |
| reg_ | EPA ECHO facility record — Clean Air Act compliance status. Example: "No Violation Identified" | 12% |
| reg_ | EPA ECHO facility record — Y where the facility is a Clean Air Act high priority violator. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — NAICS codes on its Clean Air Act record. Example: "812320" | 12% |
| reg_ | EPA ECHO facility record — Clean Air Act permit type. Example: "Minor Emissions" | 12% |
| reg_ | EPA ECHO facility record — quarters out of compliance with the Clean Air Act in the last 3 years. Example: "0" | 12% |
| reg_ | EPA ECHO facility record — SIC codes on its Clean Air Act record. Example: "7216" | 11% |
| reg_ | EPA ECHO facility record — Y where the facility is in significant noncompliance with the Clean Water Act. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — census block group of the map point. Example: "020200014013" | 17% |
| reg_ | EPA ECHO facility record — 1 where the facility has a current significant violation. Example: "0" | 17% |
| reg_ | EPA ECHO facility record — 1 where the facility has a current violation. Example: "0" | 17% |
| reg_ | EPA ECHO facility record — link to EPA's Detailed Facility Report. Example: "https://echo.epa.gov/detailed-facility-report?fid =…" | 17% |
| reg_ | EPA ECHO facility record — 1 where the facility has a formal enforcement action in the last 5 years. Example: "0" | 17% |
| reg_ | EPA ECHO facility record — Y where the facility is in EPA's air emissions inventory (EIS). Example: "N" | 17% |
| reg_ | EPA ECHO facility record — compliance across EPA programs in the last 12 quarters, one character a quarter (_ = no violation). Example: "____________" | 17% |
| reg_ | EPA ECHO facility record — accuracy of EPA's map point, in meters. Example: "30" | 17% |
| reg_ | EPA ECHO facility record — how EPA placed the map point. Example: "ADDRESS MATCHING-HOUSE NUMBER" | 17% |
| reg_ | EPA ECHO facility record — the facility's compliance status across EPA programs. Example: "No Violation Identified" | 17% |
| reg_ | EPA ECHO facility record — county on the facility's EPA record. Example: "ANCHORAGE" | 17% |
| reg_ | EPA ECHO facility record — 2010 census block of the map point. Example: "020200014006003" | 17% |
| reg_ | EPA ECHO facility record — congressional district (113th Congress) of the map point. Example: "01" | 17% |
| reg_ | EPA ECHO facility record — 8-digit hydrologic unit (watershed) code. Example: "19020401" | 17% |
| reg_ | EPA ECHO facility record — 12-digit watershed code of the nearest reach. Example: "031501070402" | 15% |
| reg_ | EPA ECHO facility record — 12-digit watershed name of the nearest reach. Example: "Camp Branch" | 15% |
| reg_ | EPA ECHO facility record — 8-digit watershed code of the nearest reach. Example: "03150107" | 15% |
| reg_ | EPA ECHO facility record — 8-digit watershed name of the nearest reach. Example: "Lower Coosa" | 15% |
| reg_ | EPA ECHO facility record — state and county FIPS code EPA derives from the map point. Example: "02020" | 17% |
| reg_ | EPA ECHO facility record — 12-digit watershed boundary code. Example: "190204010806" | 17% |
| reg_ | EPA ECHO facility record — 12-digit watershed name. Example: "Chester Creek" | 17% |
| reg_ | EPA ECHO facility record — 8-digit watershed code. Example: "19020401" | 17% |
| reg_ | EPA ECHO facility record — 8-digit watershed name. Example: "Lower Coosa" | 17% |
| reg_ | EPA ECHO facility record — ZIP code EPA derives from the map point. Example: "99503" | 17% |
| reg_ | EPA ECHO facility record — EPA region. Example: "10" | 16% |
| reg_ | EPA ECHO facility record — state and county FIPS code. Example: "02020" | 17% |
| reg_ | EPA ECHO facility record — formal enforcement actions in the last 5 years. Example: "0" | 17% |
| reg_ | EPA ECHO facility record — Y where the facility is in Indian country. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — informal enforcement actions in the last 5 years. Example: "0" | 17% |
| reg_ | EPA ECHO facility record — inspections in the last 5 years, across EPA programs. Example: "0" | 17% |
| reg_ | EPA ECHO facility record — amount of the last penalty, in dollars. Example: "700" | 17% |
| reg_ | EPA ECHO facility record — Y where ECHO can map the facility. Example: "Y" | 17% |
| reg_ | EPA ECHO facility record — the icon ECHO's map uses for the facility. Example: "MULT-IC-MN-N.png" | 17% |
| reg_ | EPA ECHO facility record — ECHO's MyRTK (My Right-to-Know) universe code, as ECHO publishes it. Example: "NNN" | 17% |
| reg_ | EPA ECHO facility record — NAICS codes on the facility's EPA records. Example: "81232 812320" | 17% |
| reg_ | EPA ECHO facility record — titles of those NAICS codes. Example: "812320: Drycleaning and Laundry Services (except…" | 17% |
| reg_ | EPA ECHO facility record — Y where the facility is in an air quality nonattainment area. Example: "Y" | 12% |
| reg_ | EPA ECHO facility record — percent minority population near the facility. Example: "45.93" | 16% |
| reg_ | EPA ECHO facility record — EPA programs in which the facility is in significant noncompliance. Example: "0" | 17% |
| reg_ | EPA ECHO facility record — quarters out of compliance in the last 3 years, across EPA programs. Example: "0" | 17% |
| reg_ | EPA ECHO facility record — what EPA's map point marks. Example: "CENTER OF A FACILITY OR STATION" | 17% |
| reg_ | EPA ECHO facility record — SIC codes on the facility's EPA records. Example: "7216" | 11% |
| reg_ | EPA ECHO facility record — titles of those SIC codes. Example: "7216: Drycleaning Plants, Except Rug" | 11% |
| reg_ | EPA ECHO facility record — Y where the facility is in significant noncompliance in any EPA program. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — standardised county name. Example: "ANCHORAGE MUNICIPALITY" | 16% |
| reg_ | EPA ECHO facility record — penalties in the last 5 years, in dollars. Example: "0" | 17% |
| reg_ | EPA ECHO facility record — Y where the facility reports greenhouse gas emissions to EPA. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — Y where the facility has a pollutant report. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — 1 where the facility has an informal enforcement action in the last 5 years. Example: "0" | 17% |
| reg_ | EPA ECHO facility record — 1 where the facility was inspected in the last 5 years. Example: "0" | 17% |
| reg_ | EPA ECHO facility record — Y where the facility is in the lower 48 states. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — pollutants of the air quality maintenance areas. Example: "Carbon Monoxide" | 13% |
| reg_ | EPA ECHO facility record — standards of the air quality maintenance areas. Example: "Carbon Monoxide (1971)" | 13% |
| reg_ | EPA ECHO facility record — Y where the area is an air quality maintenance area. Example: "Y" | 13% |
| reg_ | EPA ECHO facility record — Y where the facility has an NPDES water discharge permit. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — pollutants of the nonattainment areas. Example: "Ozone; PM-10" | 12% |
| reg_ | EPA ECHO facility record — standards of the nonattainment areas. Example: "8-Hour Ozone (2008); 8-Hour Ozone (2015); PM-10 (1987)" | 12% |
| reg_ | EPA ECHO facility record — Y where the area is in nonattainment. Example: "Y" | 12% |
| reg_ | EPA ECHO facility record — air quality nonattainment standards the area is under. Example: "8-Hour Ozone (2008); 8-Hour Ozone (2015); PM-10 (1987)" | 12% |
| reg_ | EPA ECHO facility record — pollutants of those nonattainment areas. Example: "Ozone; PM-10" | 12% |
| reg_ | EPA ECHO facility record — percent low-income population within 3 miles. Example: "28.21" | 17% |
| reg_ | EPA ECHO facility record — percent people of color around the facility. Example: "52.69" | 17% |
| reg_ | EPA ECHO facility record — hazardous waste compliance in the last 12 quarters, one character a quarter (_ = no violation). Example: "____________" | 14% |
| reg_ | EPA ECHO facility record — hazardous waste (RCRA) compliance status. Example: "No Violation Identified" | 14% |
| reg_ | EPA ECHO facility record — Y where the facility has a hazardous waste (RCRA) record. Example: "Y" | 17% |
| reg_ | EPA ECHO facility record — its hazardous waste (RCRA) handler ids. Example: "AKR000003210" | 14% |
| reg_ | EPA ECHO facility record — the name on its hazardous waste (RCRA) record. Example: "ONE HOUR FIREWEED CLEANERS" | 14% |
| reg_ | EPA ECHO facility record — hazardous waste generator category (VSQG, SQG, LQG or Other). Example: "Other" | 14% |
| reg_ | EPA ECHO facility record — quarters out of hazardous waste compliance in the last 3 years. Example: "0" | 14% |
| reg_ | EPA ECHO facility record — Y where the facility is in significant noncompliance with hazardous waste rules. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — Y where the facility is in significant noncompliance with the Safe Drinking Water Act. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — Y where the facility has a Safe Drinking Water Act record. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — ECHO's Score field, as ECHO publishes it. Example: "1" | 17% |
| reg_ | EPA ECHO facility record — Y where the facility has a Superfund (SEMS) record. Example: "Y" | 17% |
| reg_ | EPA ECHO facility record — the facility's EPA registry id. Example: "110001717713" | 17% |
| reg_ | EPA ECHO facility record — Y where the facility reports to the Toxics Release Inventory. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — ECHO's TRIbalFlag field, as ECHO publishes it. Example: "1" | 17% |
| reg_ | EPA ECHO facility record — Y where the facility has a Toxic Substances Control Act record. Example: "N" | 17% |
| reg_ | EPA ECHO facility record — 1 where the facility has a violation in the last 3 years. Example: "0" | 17% |
| sic | SIC industry code: 7216, Drycleaning Plants, Except Rug Cleaning | 100% |
| sic | Second SIC code: 7212, Garment Pressing, and Agents for Laundries and Drycleaners | 100% |
| sic | Title of the SIC code | 100% |
| sic | Title of the second SIC code | 100% |
| site | What the location is, in one vocabulary across every list: store, plant, drop-off, locker, concierge, laundromat, mobile or restoration | 100% |
| source | The chain's own id for the location | 12% |
| source | The page or feed the row was read from | 12% |
| sources | Every source the row's facts come from, joined with |: the chain's store locator, Overture Maps, a state dry-cleaner register, EPA ECHO | 100% |
| state | Which state dry-cleaner register the row matched: tx-tceq (Texas TCEQ), fl-dep (Florida DEP) or nc-deq (North Carolina DEQ) | 12% |
| state | The location's id in that state register (Texas DCR registration, Florida facility id, North Carolina facility id) | 12% |
| status | Open on the build date (NOW OPEN where the chain's page carries that banner) | 100% |
| store | What the shop's name says it also does: Dry cleaner, Dry cleaner & laundry, Dry cleaner & tailor, Dry cleaner & laundromat or Wedding gown specialist | 88% |
| updated | The date the row was built from its source | 100% |
| web | Business email on the shop's own website | 13% |
| web | Facebook page linked from the shop's own website | 12% |
| web | Services the shop's own website mentions (wash & fold, alterations, pickup & delivery and so on) | 19% |
| web | What the shop's own website returned when read: ok, dns (domain gone), parked, 404, timeout, blocked, robots, other-business-site, unrelated-site, not-own-site (a directory page) and similar | 65% |
| zip4 | ZIP+4 add-on, where known | 16% |
Rows filled is measured on every row of the delivered file. The file has 555 columns: these 148, and 407 more that only one list of the bundle fills (each on under 10% of rows).
✓Where this data comes from
Each of the 28 networks in this bundle is its own dataset in the catalog, merged into one CSV on a shared column layout, with a brand column on every row and each source's brand-specific fields carried through rather than flattened away.
October 8, 2026
Snapshot built
555 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 Dry Cleaning Industry Bundle and give it this page: it can open https://locationlists.com/find?dataset=dry-cleaner-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.
This bundle is sold as one file. Ask about any list in it with these links:
- 100 retail stores within 25 miles of Los Angeles: https://locationlists.com/find?category=retail&near=Los+Angeles+CA&radius=25&total=100
- Dental practices in Richmond, VA: https://locationlists.com/find?dataset=dental-practice-list&city=Richmond&state=VA
- Virginia federal contractors with over $5M in contract obligations: https://locationlists.com/find?dataset=virginia-federal-contractors&where=contract_obligations_total:gt:5000000
- How much of Raising Cane's Texas trade area is also Chick-fil-A's: https://locationlists.com/find?dataset=raisingcanes&state=TX&relate=overlap&within=3&b.dataset=chickfila
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 Dry Cleaning Industry Bundle list.Your assistant will walk you through setup and show you the price before you pay.
For developers
A bundle is sold as one file rather than queried by the row. Without a connector, open https://locationlists.com/find?dataset=dry-cleaner-list. 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
Is a location ever in it twice?
No. The chain lists fold points in one building into one row, and no independent is a chain location; brandsAtLocation names a single brand on every row.
Why are there so many columns?
Because each list keeps every field its source publishes and the bundle keeps all of them: a column belongs to the lists whose source has it and is blank for the rest. brand tells you which list a row comes from.
Which rows have plant, solvent and owner data?
The rows Texas (TCEQ), Florida (DEP) and North Carolina (DEQ) register: 2,193 rows match a state register, chains and independents alike. Those three states publish every operating dry cleaner with these facts; EPA ECHO adds its registry id and compliance record on 3,229 rows across all states.
How current is it?
Snapshot built on October 8, 2026. It is a one-time snapshot and is not rebuilt on a schedule.
↔Datasets in this bundle
Independent & Regional Dry Cleaners
16,550 locations$69
Tide Cleaners Locations
1,117 locations$19
Mulberrys Garment Care Locations
249 locations$9
See all 28 lists
Comet Cleaners Locations
125 locations$9
Martinizing Cleaners Locations
114 locations$9
ZIPS Cleaners Locations
73 locations$9
Lapels Cleaners Locations
71 locations$9
CD One Price Cleaners Locations
68 locations$9
Jack Brown Cleaners Locations
43 locations$9
Pride Cleaners Stores
41 locations$9
Anton's Cleaners Locations
36 locations$9
OXXO Care Cleaners Locations
33 locations$9
Sun Country Cleaners Locations
28 locations$9
Pilgrim Dry Cleaners Locations
27 locations$9
Starcrest Cleaners Locations
22 locations$9
Classic Cleaners Stores
18 locations$9
Kona Cleaners Locations
16 locations$9
Klinke Cleaners Locations
15 locations$9
Al Phillips Cleaners Locations
15 locations$9
Nu-Yale Cleaners Locations
15 locations$9
Puritan Cleaners Locations
14 locations$9
Dependable Cleaners Stores
12 locations$9
Peerless Cleaners Locations
12 locations$9
D.O. Summers Cleaners Locations
11 locations$9
Crest Advanced Dry Cleaners Locations
11 locations$9
In The Bag Cleaners Locations
11 locations$9
Yale Cleaners Locations
10 locations$9
Model Cleaners Stores
10 locations$9