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This dataset covers 378 verified records spread across 88+ districts in Ohio. 378 records carry a verified phone number and 132 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Tuscarawas (75 listings), Defiance (37 listings), Butler (25 listings), Allen (19 listings), Hamilton (15 listings), Clark (12 listings), Richland (11 listings), and Paulding (9 listings).
Additional coverage spans Pike (8), Pickaway (7), Athens (7), Lake (6), Montgomery (6), Darke (5), Franklin (5), Licking (5), Belmont (4), Mahoning (4), Highland (4), Portage (4) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Tuscarawas | 75 | 75 | 26 |
| Defiance | 37 | 37 | 13 |
| Butler | 25 | 25 | 9 |
| Allen | 19 | 19 | 7 |
| Hamilton | 15 | 15 | 5 |
| Clark | 12 | 12 | 4 |
| Richland | 11 | 11 | 4 |
| Paulding | 9 | 9 | 3 |
| Pike | 8 | 8 | 3 |
| Pickaway | 7 | 7 | 2 |
| All districts (88) | 378 | 378 | 132 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Tuscarawas | 75 | 75 | 26 |
| Defiance | 37 | 37 | 13 |
| Butler | 25 | 25 | 9 |
| Allen | 19 | 19 | 7 |
| Hamilton | 15 | 15 | 5 |
| Clark | 12 | 12 | 4 |
| Richland | 11 | 11 | 4 |
| Paulding | 9 | 9 | 3 |
| Pike | 8 | 8 | 3 |
| Pickaway | 7 | 7 | 2 |
| Athens | 7 | 7 | 2 |
| Lake | 6 | 6 | 2 |
| Montgomery | 6 | 6 | 2 |
| Darke | 5 | 5 | 2 |
| Franklin | 5 | 5 | 2 |
| Licking | 5 | 5 | 2 |
| Belmont | 4 | 4 | 1 |
| Mahoning | 4 | 4 | 1 |
| Highland | 4 | 4 | 1 |
| Portage | 4 | 4 | 1 |
| Trumbull | 4 | 4 | 1 |
| Ross | 4 | 4 | 1 |
| Champaign | 3 | 3 | 1 |
| Preble | 3 | 3 | 1 |
| Seneca | 3 | 3 | 1 |
| Erie | 3 | 3 | 1 |
| Ottawa | 3 | 3 | 1 |
| Coshocton | 3 | 3 | 1 |
| Hocking | 3 | 3 | 1 |
| Wayne | 3 | 3 | 1 |
| Madison | 2 | 2 | 1 |
| Gallia | 2 | 2 | 1 |
| Greene | 2 | 2 | 1 |
| Morrow | 2 | 2 | 1 |
| Shelby | 2 | 2 | 1 |
| Guernsey | 2 | 2 | 1 |
| Lawrence | 2 | 2 | 1 |
| Adams | 2 | 2 | 1 |
| Holmes | 2 | 2 | 1 |
| Carroll | 2 | 2 | 1 |
| Fayette | 2 | 2 | 1 |
| Sandusky | 2 | 2 | 1 |
| Muskingum | 2 | 2 | 1 |
| Washington | 2 | 2 | 1 |
| Clermont | 2 | 2 | 1 |
| Lorain | 2 | 2 | 1 |
| Morgan | 2 | 2 | 1 |
| Brown | 2 | 2 | 1 |
| Van Wert | 2 | 2 | 1 |
| Logan | 2 | 2 | 1 |
| Monroe | 1 | 1 | 0 |
| Scioto | 1 | 1 | 0 |
| Knox | 1 | 1 | 0 |
| Mercer | 1 | 1 | 0 |
| Perry | 1 | 1 | 0 |
| Wood | 1 | 1 | 0 |
| Hardin | 1 | 1 | 0 |
| Putnam | 1 | 1 | 0 |
| Jackson | 1 | 1 | 0 |
| Summit | 1 | 1 | 0 |
| Delaware | 1 | 1 | 0 |
| Medina | 1 | 1 | 0 |
| Miami | 1 | 1 | 0 |
| Auglaize | 1 | 1 | 0 |
| Cuyahoga | 1 | 1 | 0 |
| Marion | 1 | 1 | 0 |
| Lucas | 1 | 1 | 0 |
| Noble | 1 | 1 | 0 |
| Harrison | 1 | 1 | 0 |
| Ashtabula | 1 | 1 | 0 |
| Hancock | 1 | 1 | 0 |
| Huron | 1 | 1 | 0 |
| Union | 1 | 1 | 0 |
| Crawford | 1 | 1 | 0 |
| Geauga | 1 | 1 | 0 |
| Fulton | 1 | 1 | 0 |
| Clinton | 1 | 1 | 0 |
| Columbiana | 1 | 1 | 0 |
| Stark | 1 | 1 | 0 |
| Vinton | 1 | 1 | 0 |
| Henry | 1 | 1 | 0 |
| Fairfield | 1 | 1 | 0 |
| Jefferson | 1 | 1 | 0 |
| Williams | 1 | 1 | 0 |
| Wyandot | 1 | 1 | 0 |
| Meigs | 1 | 1 | 0 |
| Ashland | 1 | 1 | 0 |
| Warren | 1 | 1 | 0 |
| All districts (88) | 378 | 378 | 132 |
The Refreshed Tile stores database includes 378+ verified Refreshed Tile 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.
Our latest 2026 count shows 378+ live Refreshed Tile stores across Ohio, United States. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
This page IS the download point. The Refreshed Tile stores CSV for Ohio, United States ships immediately after payment and includes all verified store-level fields.
The CSV ships with one row per Refreshed Tile location, columns covering Refreshed Tile 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.
We verify each Refreshed Tile entry against the brand's official locator, Google Places and our directory partners on a 30-day cycle. Anything closed or with a dead phone gets dropped before export, so the CSV is the live Ohio, United States footprint, not last year's.
Yes. The Refreshed Tile 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 Refreshed Tile 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 Refreshed Tile 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 378+ 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):
378
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
