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This dataset covers 4,380 verified records spread across 88+ districts in Ohio. 4,380 records carry a verified phone number and 1,533 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Wayne (866 listings), Lorain (433 listings), Morgan (289 listings), Monroe (216 listings), Knox (173 listings), Adams (144 listings), Williams (124 listings), and Montgomery (108 listings).
Additional coverage spans Wood (96), Hardin (87), Putnam (79), Tuscarawas (72), Medina (67), Summit (62), Harrison (58), Marion (54), Scioto (51), Mercer (48), Crawford (46), Portage (43) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Wayne | 866 | 866 | 303 |
| Lorain | 433 | 433 | 152 |
| Morgan | 289 | 289 | 101 |
| Monroe | 216 | 216 | 76 |
| Knox | 173 | 173 | 61 |
| Adams | 144 | 144 | 50 |
| Williams | 124 | 124 | 43 |
| Montgomery | 108 | 108 | 38 |
| Wood | 96 | 96 | 34 |
| Hardin | 87 | 87 | 30 |
| All districts (88) | 4,380 | 4,380 | 1,533 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Wayne | 866 | 866 | 303 |
| Lorain | 433 | 433 | 152 |
| Morgan | 289 | 289 | 101 |
| Monroe | 216 | 216 | 76 |
| Knox | 173 | 173 | 61 |
| Adams | 144 | 144 | 50 |
| Williams | 124 | 124 | 43 |
| Montgomery | 108 | 108 | 38 |
| Wood | 96 | 96 | 34 |
| Hardin | 87 | 87 | 30 |
| Putnam | 79 | 79 | 28 |
| Tuscarawas | 72 | 72 | 25 |
| Medina | 67 | 67 | 23 |
| Summit | 62 | 62 | 22 |
| Harrison | 58 | 58 | 20 |
| Marion | 54 | 54 | 19 |
| Scioto | 51 | 51 | 18 |
| Mercer | 48 | 48 | 17 |
| Crawford | 46 | 46 | 16 |
| Portage | 43 | 43 | 15 |
| Ross | 41 | 41 | 14 |
| Champaign | 39 | 39 | 14 |
| Delaware | 38 | 38 | 13 |
| Darke | 36 | 36 | 13 |
| Belmont | 35 | 35 | 12 |
| Licking | 33 | 33 | 12 |
| Auglaize | 32 | 32 | 11 |
| Cuyahoga | 31 | 31 | 11 |
| Warren | 30 | 30 | 11 |
| Sandusky | 29 | 29 | 10 |
| Allen | 28 | 28 | 10 |
| Coshocton | 27 | 27 | 9 |
| Geauga | 26 | 26 | 9 |
| Fulton | 25 | 25 | 9 |
| Clermont | 25 | 25 | 9 |
| Clark | 24 | 24 | 8 |
| Vinton | 23 | 23 | 8 |
| Madison | 23 | 23 | 8 |
| Hocking | 22 | 22 | 8 |
| Van Wert | 22 | 22 | 8 |
| Stark | 21 | 21 | 7 |
| Lake | 21 | 21 | 7 |
| Butler | 20 | 20 | 7 |
| Henry | 20 | 20 | 7 |
| Fayette | 19 | 19 | 7 |
| Carroll | 19 | 19 | 7 |
| Pike | 18 | 18 | 6 |
| Guernsey | 18 | 18 | 6 |
| Lawrence | 18 | 18 | 6 |
| Muskingum | 17 | 17 | 6 |
| Meigs | 17 | 17 | 6 |
| Franklin | 17 | 17 | 6 |
| Jackson | 16 | 16 | 6 |
| Washington | 16 | 16 | 6 |
| Lucas | 16 | 16 | 6 |
| Noble | 15 | 15 | 5 |
| Union | 15 | 15 | 5 |
| Highland | 15 | 15 | 5 |
| Mahoning | 15 | 15 | 5 |
| Athens | 14 | 14 | 5 |
| Trumbull | 14 | 14 | 5 |
| Huron | 14 | 14 | 5 |
| Columbiana | 14 | 14 | 5 |
| Perry | 14 | 14 | 5 |
| Hancock | 13 | 13 | 5 |
| Richland | 13 | 13 | 5 |
| Paulding | 13 | 13 | 5 |
| Preble | 13 | 13 | 5 |
| Seneca | 13 | 13 | 5 |
| Pickaway | 12 | 12 | 4 |
| Erie | 12 | 12 | 4 |
| Ashtabula | 12 | 12 | 4 |
| Miami | 12 | 12 | 4 |
| Greene | 12 | 12 | 4 |
| Morrow | 12 | 12 | 4 |
| Jefferson | 11 | 11 | 4 |
| Shelby | 11 | 11 | 4 |
| Ashland | 11 | 11 | 4 |
| Wyandot | 11 | 11 | 4 |
| Holmes | 11 | 11 | 4 |
| Defiance | 11 | 11 | 4 |
| Logan | 11 | 11 | 4 |
| Ottawa | 10 | 10 | 4 |
| Clinton | 10 | 10 | 4 |
| Fairfield | 10 | 10 | 4 |
| Gallia | 10 | 10 | 4 |
| Brown | 10 | 10 | 4 |
| Hamilton | 8 | 8 | 3 |
| All districts (88) | 4,380 | 4,380 | 1,533 |
The Clothing stores database includes 4,380+ verified Clothing stores in Ohio, United States with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Delmer (US) bought 4 days ago · Jeanie (US) bought 4 days ago · Selina (IN) bought 5 days ago · Carmelo (US) bought 5 days ago · Vladimir (US) bought 5 days ago
There are roughly 4,380+ Clothing stores in Ohio, United States as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Data2Sales AI hosts the most up-to-date Clothing stores list for Ohio, United States; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Each Clothing record carries the full operational profile: Clothing store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
Each Clothing row goes through phone validation, address cross-check against Google Maps and a check against the official Clothing Ohio, United States locator. Records that fail any of those drop before you ever see them.
Yes. The Clothing stores dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Clothing catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Clothing stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Data2Sales AI's World Wide Data database for Ohio, United States consolidates 4,380+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 16, 2026 05:45 AM
Published:
May 11, 2026 04:04 AM
Rows (Regular):
2,190
Rows (Extended):
4,380
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
