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This dataset covers 1,942 verified records spread across 88+ districts in Ohio. 1,942 records carry a verified phone number and 680 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Richland (384 listings), Miami (192 listings), Paulding (128 listings), Pickaway (96 listings), Athens (77 listings), Ashtabula (64 listings), Perry (55 listings), and Pike (48 listings).
Additional coverage spans Brown (43), Washington (38), Butler (35), Jefferson (32), Logan (30), Defiance (27), Lake (26), Fairfield (24), Hamilton (23), Holmes (21), Portage (20), Meigs (19) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Richland | 384 | 384 | 134 |
| Miami | 192 | 192 | 67 |
| Paulding | 128 | 128 | 45 |
| Pickaway | 96 | 96 | 34 |
| Athens | 77 | 77 | 27 |
| Ashtabula | 64 | 64 | 22 |
| Perry | 55 | 55 | 19 |
| Pike | 48 | 48 | 17 |
| Brown | 43 | 43 | 15 |
| Washington | 38 | 38 | 13 |
| All districts (88) | 1,942 | 1,942 | 680 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Richland | 384 | 384 | 134 |
| Miami | 192 | 192 | 67 |
| Paulding | 128 | 128 | 45 |
| Pickaway | 96 | 96 | 34 |
| Athens | 77 | 77 | 27 |
| Ashtabula | 64 | 64 | 22 |
| Perry | 55 | 55 | 19 |
| Pike | 48 | 48 | 17 |
| Brown | 43 | 43 | 15 |
| Washington | 38 | 38 | 13 |
| Butler | 35 | 35 | 12 |
| Jefferson | 32 | 32 | 11 |
| Logan | 30 | 30 | 11 |
| Defiance | 27 | 27 | 9 |
| Lake | 26 | 26 | 9 |
| Fairfield | 24 | 24 | 8 |
| Hamilton | 23 | 23 | 8 |
| Holmes | 21 | 21 | 7 |
| Portage | 20 | 20 | 7 |
| Meigs | 19 | 19 | 7 |
| Shelby | 18 | 18 | 6 |
| Morrow | 17 | 17 | 6 |
| Greene | 17 | 17 | 6 |
| Columbiana | 16 | 16 | 6 |
| Belmont | 15 | 15 | 5 |
| Licking | 15 | 15 | 5 |
| Gallia | 14 | 14 | 5 |
| Muskingum | 14 | 14 | 5 |
| Lawrence | 13 | 13 | 5 |
| Guernsey | 13 | 13 | 5 |
| Stark | 12 | 12 | 4 |
| Ottawa | 12 | 12 | 4 |
| Henry | 12 | 12 | 4 |
| Franklin | 11 | 11 | 4 |
| Seneca | 11 | 11 | 4 |
| Erie | 11 | 11 | 4 |
| Preble | 10 | 10 | 4 |
| Huron | 10 | 10 | 4 |
| Union | 10 | 10 | 4 |
| Lucas | 10 | 10 | 4 |
| Highland | 9 | 9 | 3 |
| Hocking | 9 | 9 | 3 |
| Madison | 9 | 9 | 3 |
| Noble | 9 | 9 | 3 |
| Mahoning | 9 | 9 | 3 |
| Trumbull | 8 | 8 | 3 |
| Marion | 8 | 8 | 3 |
| Champaign | 8 | 8 | 3 |
| Summit | 8 | 8 | 3 |
| Medina | 8 | 8 | 3 |
| Darke | 8 | 8 | 3 |
| Putnam | 7 | 7 | 2 |
| Hardin | 7 | 7 | 2 |
| Montgomery | 7 | 7 | 2 |
| Delaware | 7 | 7 | 2 |
| Mercer | 7 | 7 | 2 |
| Fayette | 7 | 7 | 2 |
| Carroll | 7 | 7 | 2 |
| Auglaize | 7 | 7 | 2 |
| Scioto | 6 | 6 | 2 |
| Cuyahoga | 6 | 6 | 2 |
| Monroe | 6 | 6 | 2 |
| Knox | 6 | 6 | 2 |
| Allen | 6 | 6 | 2 |
| Morgan | 6 | 6 | 2 |
| Wood | 6 | 6 | 2 |
| Lorain | 6 | 6 | 2 |
| Tuscarawas | 6 | 6 | 2 |
| Jackson | 6 | 6 | 2 |
| Sandusky | 5 | 5 | 2 |
| Clark | 5 | 5 | 2 |
| Clermont | 5 | 5 | 2 |
| Van Wert | 5 | 5 | 2 |
| Coshocton | 5 | 5 | 2 |
| Warren | 5 | 5 | 2 |
| Hancock | 5 | 5 | 2 |
| Adams | 5 | 5 | 2 |
| Williams | 5 | 5 | 2 |
| Vinton | 5 | 5 | 2 |
| Wayne | 5 | 5 | 2 |
| Fulton | 5 | 5 | 2 |
| Geauga | 5 | 5 | 2 |
| Harrison | 5 | 5 | 2 |
| Ashland | 5 | 5 | 2 |
| Wyandot | 5 | 5 | 2 |
| Ross | 4 | 4 | 1 |
| Crawford | 4 | 4 | 1 |
| Clinton | 2 | 2 | 1 |
| All districts (88) | 1,942 | 1,942 | 680 |
The Footwear Retail stores database includes 1,942+ verified Footwear Retail 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.
Hailey (US) bought 1 day ago · Anya (US) bought 3 days ago · Sigmund (IN) bought 4 days ago · Kamlesh (US) bought 6 days ago · Harry (US) bought 1 week ago
Our latest 2026 count shows 1,942+ live Footwear Retail stores across Ohio, United States. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
The complete Footwear Retail stores database for Ohio, United States is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Footwear Retail location with address, phone, hours, website and GPS coordinates.
The CSV ships with one row per Footwear Retail location, columns covering Footwear Retail store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL plus website, opening-hours window, ratings and review counts. UTF-8 encoded — imports cleanly into HubSpot, Salesforce, Zoho or any CRM.
Each Footwear Retail row goes through phone validation, address cross-check against Google Maps and a check against the official Footwear Retail Ohio, United States locator. Records that fail any of those drop before you ever see them.
Yes. The Footwear Retail 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 Footwear Retail 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 Footwear Retail 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 1,942+ 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 18, 2026 05:45 AM
Published:
May 11, 2026 04:04 AM
Rows (Regular):
971
Rows (Extended):
1,942
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
