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List of Dry cleaners in Ohio

There are 552 Dry cleaners in Ohio as of December 1, 2024; which is an 1.08% increase from 2023. Of these locations, 350 Dry cleaners which is 63.41% of all Dry cleaners in Ohio are single-owner operations, while the remaining 202 which is 36.59% are part of larger brands. The top three cities with the most Dry cleaners are Columbus with 89 Dry cleaners, Cincinnati with 84 Dry cleaners, Dayton with 47 Dry cleaners. Average age of Dry cleaners in Ohio is 7 years and 8 months.

Dry cleaners are also establishing a strong digital presence across various platforms: 25 have LinkedIn profiles, 171 have Facebook Pages, 58 are active on Instagram, 65 have X (formerly Twitter) handles, and 23 have YouTube channels. About 303 Dry cleaners have their own website and the remaining 250 don’t have their own website.

  • 171

    Facebook Profiles

  • 58

    Instagram Handles

  • 65

    X Handles

  • 23

    YouTube Channels

Data updated on December 1, 2024
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Download list of Dry cleaners in Ohio

You can download Dry cleaners email and phone number lists along with top management data. Here is a random sample of 10 records for you to look at. Contact our support team to get more details.

nameaddresscityState/TerritorycountryemailphoneReview CountRating ScoresurlFacebook ProfileInstagram HandleTwitterYouTube
Liberty CleanersAddressColumbusOhioUnited StatesEmailPhone55Link
Liberty CleanersAddressColumbusOhioUnited StatesEmailPhone335Link
London CleanersAddressWilloughbyOhioUnited StatesEmailPhone4634.9Link
A+ CleanersAddressDaytonOhioUnited StatesEmailPhone114.2Link
A+Cleaners-SouthAddressDaytonOhioUnited StatesEmailPhone344.1Link
Fox CleanersAddressDaytonOhioUnited StatesEmailPhone253.8Link
Rite CleanersAddressSolonOhioUnited StatesEmailPhone714.8Link
Rite Dry CleanersAddressShaker HeightsOhioUnited StatesEmailPhone545Link
Armstrong CleanersAddressEatonOhioUnited StatesEmailPhone594.8Link
Rite Dry Cleaners - Bishop RdAddressHighland HeightsOhioUnited StatesEmailPhone524.8Link
[
  {
    "name": "Liberty Cleaners",
    "address": "51**********",
    "phone": "********1077",
    "email": "li**********@gm*******",
    "lat": 40.1352248,
    "lng": -82.9929298,
    "url": "ht**********",
    "country": "United States",
    "state": "Ohio",
    "city": "Columbus",
    "star_count": 5,
    "rating_count": 5,
    "category_name": "Dry cleaners"
  },
  {
    "name": "Liberty Cleaners",
    "address": "34**********",
    "phone": "********0303",
    "email": "li**********@gm*******",
    "lat": 40.1937385,
    "lng": -83.0956395,
    "url": "ht**********",
    "country": "United States",
    "state": "Ohio",
    "city": "Columbus",
    "star_count": 5,
    "rating_count": 33,
    "category_name": "Dry cleaners"
  },
  {
    "name": "London Cleaners",
    "address": "44**********",
    "phone": "********0200",
    "email": "de******@lo**********",
    "lat": 41.6343996,
    "lng": -81.4205739,
    "url": "ht**********",
    "country": "United States",
    "state": "Ohio",
    "city": "Willoughby",
    "star_count": 4.9,
    "rating_count": 463,
    "category_name": "Clothing alteration services,Delivery services,Tailors,Custom tailors,Dry cleaners"
  },
  {
    "name": "A+ Cleaners",
    "address": "62**********",
    "phone": "********5800",
    "email": "ap**********@gm*******",
    "lat": 39.649035,
    "lng": -84.107484,
    "url": "ht**********",
    "country": "United States",
    "state": "Ohio",
    "city": "Dayton",
    "star_count": 4.2,
    "rating_count": 11,
    "category_name": "Dry cleaners"
  },
  {
    "name": "A+Cleaners-South",
    "address": "81**********",
    "phone": "********9501",
    "email": "ap**********@gm*******",
    "lat": 39.6321068,
    "lng": -84.2245756,
    "url": "ht**********",
    "country": "United States",
    "state": "Ohio",
    "city": "Dayton",
    "star_count": 4.1,
    "rating_count": 34,
    "category_name": "Dry cleaners,Delivery services,Laundry services"
  },
  {
    "name": "Fox Cleaners",
    "address": "11**********",
    "phone": "********6693",
    "email": "in**@th**********",
    "lat": 39.6296094,
    "lng": -84.1916843,
    "url": "ht**********",
    "country": "United States",
    "state": "Ohio",
    "city": "Dayton",
    "star_count": 3.8,
    "rating_count": 25,
    "category_name": "Laundries,Laundry services,Clothing alteration services,Custom tailors,Tailors,Dry cleaners"
  },
  {
    "name": "Rite Cleaners",
    "address": "28**********",
    "phone": "********2235",
    "email": "in**@ri**********",
    "lat": 41.4239303,
    "lng": -81.4793177,
    "url": "ht**********",
    "country": "United States",
    "state": "Ohio",
    "city": "Solon",
    "star_count": 4.8,
    "rating_count": 71,
    "category_name": "Laundries,Laundry services,Dry cleaners,Tailors,Custom tailors"
  },
  {
    "name": "Rite Dry Cleaners",
    "address": "32**********",
    "phone": "********9161",
    "email": "in**@ri**********",
    "lat": 41.4717379,
    "lng": -81.5359992,
    "url": "ht**********",
    "country": "United States",
    "state": "Ohio",
    "city": "Shaker Heights",
    "star_count": 5,
    "rating_count": 54,
    "category_name": "Clothing alteration services,Laundries,Laundry services,Upholstery cleaning services,Tailors,Dry cleaners"
  },
  {
    "name": "Armstrong Cleaners",
    "address": "40**********",
    "phone": "********5778",
    "email": "in**@th**********",
    "lat": 39.7471089,
    "lng": -84.6452134,
    "url": "ht**********",
    "country": "United States",
    "state": "Ohio",
    "city": "Eaton",
    "star_count": 4.8,
    "rating_count": 59,
    "category_name": "Laundry services,Dry cleaners"
  },
  {
    "name": "Rite Dry Cleaners - Bishop Rd",
    "address": "79**********",
    "phone": "********2235",
    "email": "in**@ri**********",
    "lat": 41.5396007,
    "lng": -81.4780573,
    "url": "ht**********",
    "country": "United States",
    "state": "Ohio",
    "city": "Highland Heights",
    "star_count": 4.8,
    "rating_count": 52,
    "category_name": "Clothing alteration services,Delivery services,Dry cleaners,Custom tailors,Tailors"
  }
]

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Number of Dry cleaners locations by each city/area

City/AreaPopulationNumber Of Dry cleaners
Columbus 905.75K89
Cincinnati 309.32K84
Dayton 137.64K47
Akron 197.54K35
Toledo 279.79K28
Cleveland 388.07K27
Canton 71.89K13
Lakewood 50.66K8
Boardman 35.38K5
Lima 37.87K5
Rocky River 20.38K5
Shaker Heights 27.65K5
Strongsville 44.67K5
Aurora 15.84K4
Elyria 53.77K4
Hudson 22.44K4
Maple Heights 22.63K4
Solon 23.04K4
Westlake 32.43K4
Youngstown 64.63K4
Ashtabula 18.37K3
Bainbridge 3.27K3
Chagrin Falls 4.02K3
Cleveland Heights 44.96K3
Euclid 47.68K3
Mansfield 46.83K3
Medina 26.34K3
Mentor 46.90K3
Newark 47.99K3
North Olmsted 32.00K3
Parma 79.94K3
Pepper Pike 6.20K3
Springfield 59.68K3
Twinsburg 18.87K3
Warren 40.24K3
Zanesville 25.50K3
Alliance 22.05K2
Austintown 29.68K2
Avon 22.54K2
Beachwood 11.76K2
Bedford 12.75K2
Bedford Heights 10.63K2
Bellefontaine 13.12K2
Bowling Green 31.25K2
Brecksville 13.44K2
Brunswick 34.69K2
Cambridge 10.40K2
East Cleveland 17.34K2
Findlay 41.15K2
Greenfield 4.57K2
Highland Heights 8.40K2
Lorain 63.65K2
Lyndhurst 13.69K2
Mayfield Heights 18.84K2
Middletown 48.76K2
North Ridgeville 32.48K2
Norwalk 16.83K2
Oxford 22.10K2
Andover 1.12K1
Antwerp 1.69K1
Archbold 4.34K1
Ashland 20.32K1
Athens 25.04K1
Avon Lake 23.45K1
Barnesville 4.13K1
Broadview Heights 19.23K1
Bryan 8.44K1
Canfield 7.36K1
Celina 10.39K1
Chillicothe 21.73K1
Defiance 16.78K1
Delphos 7.02K1
Dover 12.90K1
Eaton 8.22K1
Fairview Park 16.41K1
Fostoria 13.17K1
Fremont 16.30K1
Galion 10.13K1
Gallipolis 3.47K1
Garfield Heights 28.10K1
Garrettsville 2.33K1
Germantown 5.50K1
Gibsonburg 2.56K1
Greenville 13.01K1
Harrison 9.90K1
Howland Center 6.35K1
Hubbard 7.65K1
Independence 7.13K1
Jefferson 3.04K1
Lancaster 39.77K1
Logan 7.12K1
Marietta 13.90K1
Marion 36.36K1
Marysville 22.82K1
McDonald 3.15K1
Moreland Hills 3.31K1
Mount Orab 3.66K1
Mount Vernon 16.74K1
New Bremen 2.96K1
New Lebanon 4.00K1
New Lexington 4.73K1
New Philadelphia 17.48K1
Niles 18.65K1
North Royalton 30.31K1
Oberlin 8.35K1
Ottawa 4.40K1
Parma Heights 20.25K1
Pataskala 15.24K1
Piqua 20.79K1
Port Clinton 5.96K1
Portsmouth 20.41K1
Saint Clairsville 5.18K1
Salem 12.00K1
Sandusky 25.21K1
Shadyside 3.71K1
Sheffield 3.98K1
South Euclid 21.79K1
Steubenville 18.22K1
Upper Sandusky 6.53K1
Urbana 11.55K1
Van Wert 10.80K1
Vermilion 10.43K1
Warrensville Heights 13.54K1
Washington Court House 14.02K1
Wauseon 7.32K1
Willard 6.06K1
Willoughby 22.63K1
Willoughby Hills 9.38K1
Wilmington 12.45K1
Wooster 26.75K1

How many Dry cleaners are there in Ohio?

There are a total of 552 Dry cleaners in Ohio as of December 01, 2024.

Number of Dry cleaners in Ohio with Phone Number

523

Number of Dry cleaners in Ohio with Email

40

List of Dry cleaners in Ohio with Social Media Accounts

171

Facebook Profiles

58

Instagram Handles

25

LinkedIn Profiles

65

X Handles

23

YouTube Channels

Download sales qualified leads of Dry cleaners in the Ohio

Download this data in CSV, Esri Shapefile, Excel, GeoJSON, or KML
(Google Earth) file formats.

Data of Dry cleaners in Ohio with/without Website

Download the list of Dry cleaners in Ohio as of December 01, 2024 with and without website information.

303

Number of Dry cleaners in Ohio with website

250

Number of Dry cleaners in Ohio without website

List of Dry cleaners in Ohio By Ratings

Download the data of the number of star-rated Dry cleaners in Ohio as of December 01, 2024.

4

Number of 1 star-rated Dry cleaners in Ohio

2

Number of 2 star-rated Dry cleaners in Ohio

33

Number of 3 star-rated Dry cleaners in Ohio

117

Number of 4 star-rated Dry cleaners in Ohio

372

Number of 5 star-rated Dry cleaners in Ohio

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The total number of Dry cleaners in Ohio is 552.

Smartscrapers is your go-to platform to get authentic and reliable data on Dry cleaners in Ohio at an affordable price.

You can download the complete dataset of sales qualified leads of Dry cleaners in Ohio once you purchase it.

Absolutely! Smartscrapers enables you to download a sample dataset directly from the corresponding webpage.

You can download the data in CSV, Esri Shapefile, Excel, GeoJSON, or KML (Google Earth) file formats.

The price of Dry cleaners in Ohio dataset costs $149.

There are 523 Dry cleaners in Ohio with phone numbers.

There are 40 Dry cleaners in Ohio with email addresses.

There are 80 Dry cleaners in Ohio with both phone numbers and email lists.

There are 25 Dry cleaners in Ohio with LinkedIn Profiles.

There are 171 Dry cleaners in Ohio with Facebook Profiles.

There are 58 Dry cleaners in Ohio with Instagram Handles.

There are 65 Dry cleaners in Ohio with X Handles.

There are 23 Dry cleaners in Ohio with YouTube Channels.

The total count of Dry cleaners in Ohio with a website is 303.

The total count of Dry cleaners in Ohio without a website is 250.

There are 372 5-star rated Dry cleaners in Ohio.

There are 117 4-star rated Dry cleaners in Ohio.

There are 33 3-star rated Dry cleaners in Ohio.

There are 2 2-star rated Dry cleaners in Ohio.

There are 4 1-star rated Dry cleaners in Ohio.

The average age of Dry cleaners in Ohio is 7 years and 8 months.

Columbus, Cincinnati, and Dayton are the top 3 cities with the most number of Dry cleaners in Ohio. Columbus leads at the top with 89 Dry cleaners, at 16.12%. Cincinnati follows with 84 Dry cleaners, at 15.22%. Dayton comes third with 47 Dry cleaners, accounting for 8.51% of its total.

Columbus, with the most number of Dry cleaners, is the best city for Dry cleaners in Ohio. It tops with 89 Dry cleaners, which is 16.12% of the total Dry cleaners in Ohio.

By uploading our dataset on Dry cleaners, you can effortlessly reach the right target audience, optimize your ad campaigns, and increase your conversion rate.

By uploading our dataset on Dry cleaners, you can effortlessly reach the right target audience through Google Ads, optimize your ad campaigns, and maximize your ROI.

With the email addresses of Dry cleaners, you can reach your audience directly, ensuring your messages land in the inboxes of potential customers, leading to increased engagement and conversion rates.

Whether for cold calling campaigns or personalized messaging, having accurate phone numbers allows you to establish meaningful connections.

The mailing address data of Dry cleaners ensures that your promotional materials reach the hands of potential customers, driving engagement and brand recognition.