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This dataset covers 750 verified records spread across 88+ districts in Ohio. 750 records carry a verified phone number and 263 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Ashland (148 listings), Wyandot (74 listings), Crawford (49 listings), Logan (37 listings), Lake (30 listings), Brown (25 listings), Harrison (21 listings), and Seneca (19 listings).
Additional coverage spans Clinton (16), Preble (15), Pike (13), Gallia (12), Hancock (11), Muskingum (11), Miami (10), Ottawa (9), Williams (9), Holmes (8), Perry (8), Shelby (7) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Ashland | 148 | 148 | 52 |
| Wyandot | 74 | 74 | 26 |
| Crawford | 49 | 49 | 17 |
| Logan | 37 | 37 | 13 |
| Lake | 30 | 30 | 11 |
| Brown | 25 | 25 | 9 |
| Harrison | 21 | 21 | 7 |
| Seneca | 19 | 19 | 7 |
| Clinton | 16 | 16 | 6 |
| Preble | 15 | 15 | 5 |
| All districts (88) | 750 | 750 | 263 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Ashland | 148 | 148 | 52 |
| Wyandot | 74 | 74 | 26 |
| Crawford | 49 | 49 | 17 |
| Logan | 37 | 37 | 13 |
| Lake | 30 | 30 | 11 |
| Brown | 25 | 25 | 9 |
| Harrison | 21 | 21 | 7 |
| Seneca | 19 | 19 | 7 |
| Clinton | 16 | 16 | 6 |
| Preble | 15 | 15 | 5 |
| Pike | 13 | 13 | 5 |
| Gallia | 12 | 12 | 4 |
| Hancock | 11 | 11 | 4 |
| Muskingum | 11 | 11 | 4 |
| Miami | 10 | 10 | 4 |
| Ottawa | 9 | 9 | 3 |
| Williams | 9 | 9 | 3 |
| Holmes | 8 | 8 | 3 |
| Perry | 8 | 8 | 3 |
| Shelby | 7 | 7 | 2 |
| Morrow | 7 | 7 | 2 |
| Greene | 7 | 7 | 2 |
| Fairfield | 6 | 6 | 2 |
| Jackson | 6 | 6 | 2 |
| Van Wert | 6 | 6 | 2 |
| Union | 6 | 6 | 2 |
| Huron | 5 | 5 | 2 |
| Clermont | 5 | 5 | 2 |
| Tuscarawas | 5 | 5 | 2 |
| Sandusky | 5 | 5 | 2 |
| Noble | 5 | 5 | 2 |
| Butler | 5 | 5 | 2 |
| Erie | 4 | 4 | 1 |
| Lucas | 4 | 4 | 1 |
| Jefferson | 4 | 4 | 1 |
| Ashtabula | 4 | 4 | 1 |
| Athens | 4 | 4 | 1 |
| Auglaize | 4 | 4 | 1 |
| Cuyahoga | 4 | 4 | 1 |
| Delaware | 4 | 4 | 1 |
| Meigs | 4 | 4 | 1 |
| Montgomery | 4 | 4 | 1 |
| Henry | 3 | 3 | 1 |
| Fayette | 3 | 3 | 1 |
| Stark | 3 | 3 | 1 |
| Carroll | 3 | 3 | 1 |
| Clark | 3 | 3 | 1 |
| Allen | 3 | 3 | 1 |
| Trumbull | 3 | 3 | 1 |
| Highland | 3 | 3 | 1 |
| Mahoning | 3 | 3 | 1 |
| Wood | 3 | 3 | 1 |
| Franklin | 3 | 3 | 1 |
| Knox | 3 | 3 | 1 |
| Hocking | 3 | 3 | 1 |
| Madison | 3 | 3 | 1 |
| Guernsey | 3 | 3 | 1 |
| Lawrence | 3 | 3 | 1 |
| Darke | 3 | 3 | 1 |
| Hardin | 3 | 3 | 1 |
| Vinton | 2 | 2 | 1 |
| Fulton | 2 | 2 | 1 |
| Geauga | 2 | 2 | 1 |
| Portage | 2 | 2 | 1 |
| Columbiana | 2 | 2 | 1 |
| Warren | 2 | 2 | 1 |
| Belmont | 2 | 2 | 1 |
| Licking | 2 | 2 | 1 |
| Ross | 2 | 2 | 1 |
| Hamilton | 2 | 2 | 1 |
| Coshocton | 2 | 2 | 1 |
| Monroe | 2 | 2 | 1 |
| Defiance | 2 | 2 | 1 |
| Morgan | 2 | 2 | 1 |
| Washington | 2 | 2 | 1 |
| Lorain | 2 | 2 | 1 |
| Adams | 2 | 2 | 1 |
| Mercer | 2 | 2 | 1 |
| Scioto | 2 | 2 | 1 |
| Marion | 2 | 2 | 1 |
| Champaign | 2 | 2 | 1 |
| Pickaway | 2 | 2 | 1 |
| Wayne | 2 | 2 | 1 |
| Medina | 2 | 2 | 1 |
| Summit | 2 | 2 | 1 |
| Putnam | 2 | 2 | 1 |
| Richland | 2 | 2 | 1 |
| Paulding | 2 | 2 | 1 |
| All districts (88) | 750 | 750 | 263 |
The Ohio-Wide Shoe stores database includes 750+ verified Ohio-Wide Shoe 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.
There are roughly 750+ Ohio-Wide Shoe 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.
The complete Ohio-Wide Shoe stores database for Ohio, United States is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Ohio-Wide Shoe location with address, phone, hours, website and GPS coordinates.
Each Ohio-Wide Shoe record carries the full operational profile: Ohio-Wide Shoe 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.
Triple-source verification: the Ohio-Wide Shoe store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
Yes. The Ohio-Wide Shoe 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 Ohio-Wide Shoe 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 Ohio-Wide Shoe stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
This World Wide Data list covers 750+ verified records operating in Ohio, United States. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 04:04 AM
Rows (Extended):
750
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
