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This dataset covers 551 verified records spread across 88+ districts in Ohio. 551 records carry a verified phone number and 193 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Seneca (109 listings), Fairfield (54 listings), Preble (36 listings), Allen (27 listings), Clark (22 listings), Pike (18 listings), Cuyahoga (16 listings), and Auglaize (14 listings).
Additional coverage spans Delaware (12), Jefferson (11), Lake (10), Holmes (9), Sandusky (8), Ashtabula (8), Shelby (7), Morrow (7), Washington (6), Darke (6), Greene (6), Gallia (5) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Seneca | 109 | 109 | 38 |
| Fairfield | 54 | 54 | 19 |
| Preble | 36 | 36 | 13 |
| Allen | 27 | 27 | 9 |
| Clark | 22 | 22 | 8 |
| Pike | 18 | 18 | 6 |
| Cuyahoga | 16 | 16 | 6 |
| Auglaize | 14 | 14 | 5 |
| Delaware | 12 | 12 | 4 |
| Jefferson | 11 | 11 | 4 |
| All districts (88) | 551 | 551 | 193 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Seneca | 109 | 109 | 38 |
| Fairfield | 54 | 54 | 19 |
| Preble | 36 | 36 | 13 |
| Allen | 27 | 27 | 9 |
| Clark | 22 | 22 | 8 |
| Pike | 18 | 18 | 6 |
| Cuyahoga | 16 | 16 | 6 |
| Auglaize | 14 | 14 | 5 |
| Delaware | 12 | 12 | 4 |
| Jefferson | 11 | 11 | 4 |
| Lake | 10 | 10 | 4 |
| Holmes | 9 | 9 | 3 |
| Sandusky | 8 | 8 | 3 |
| Ashtabula | 8 | 8 | 3 |
| Shelby | 7 | 7 | 2 |
| Morrow | 7 | 7 | 2 |
| Washington | 6 | 6 | 2 |
| Darke | 6 | 6 | 2 |
| Greene | 6 | 6 | 2 |
| Gallia | 5 | 5 | 2 |
| Van Wert | 5 | 5 | 2 |
| Ottawa | 5 | 5 | 2 |
| Clermont | 5 | 5 | 2 |
| Columbiana | 5 | 5 | 2 |
| Butler | 4 | 4 | 1 |
| Erie | 4 | 4 | 1 |
| Hocking | 4 | 4 | 1 |
| Williams | 4 | 4 | 1 |
| Madison | 4 | 4 | 1 |
| Harrison | 4 | 4 | 1 |
| Muskingum | 4 | 4 | 1 |
| Portage | 3 | 3 | 1 |
| Adams | 3 | 3 | 1 |
| Athens | 3 | 3 | 1 |
| Crawford | 3 | 3 | 1 |
| Wayne | 3 | 3 | 1 |
| Licking | 3 | 3 | 1 |
| Belmont | 3 | 3 | 1 |
| Jackson | 3 | 3 | 1 |
| Pickaway | 3 | 3 | 1 |
| Brown | 3 | 3 | 1 |
| Wood | 3 | 3 | 1 |
| Knox | 3 | 3 | 1 |
| Scioto | 3 | 3 | 1 |
| Logan | 2 | 2 | 1 |
| Paulding | 2 | 2 | 1 |
| Coshocton | 2 | 2 | 1 |
| Richland | 2 | 2 | 1 |
| Montgomery | 2 | 2 | 1 |
| Defiance | 2 | 2 | 1 |
| Miami | 2 | 2 | 1 |
| Tuscarawas | 2 | 2 | 1 |
| Warren | 2 | 2 | 1 |
| Champaign | 2 | 2 | 1 |
| Hamilton | 2 | 2 | 1 |
| Carroll | 2 | 2 | 1 |
| Fayette | 2 | 2 | 1 |
| Vinton | 2 | 2 | 1 |
| Perry | 2 | 2 | 1 |
| Geauga | 2 | 2 | 1 |
| Fulton | 2 | 2 | 1 |
| Wyandot | 2 | 2 | 1 |
| Ashland | 2 | 2 | 1 |
| Monroe | 2 | 2 | 1 |
| Huron | 2 | 2 | 1 |
| Union | 2 | 2 | 1 |
| Morgan | 2 | 2 | 1 |
| Lorain | 2 | 2 | 1 |
| Lucas | 2 | 2 | 1 |
| Clinton | 2 | 2 | 1 |
| Guernsey | 2 | 2 | 1 |
| Lawrence | 2 | 2 | 1 |
| Noble | 2 | 2 | 1 |
| Ross | 1 | 1 | 0 |
| Marion | 1 | 1 | 0 |
| Hancock | 1 | 1 | 0 |
| Meigs | 1 | 1 | 0 |
| Medina | 1 | 1 | 0 |
| Summit | 1 | 1 | 0 |
| Franklin | 1 | 1 | 0 |
| Putnam | 1 | 1 | 0 |
| Hardin | 1 | 1 | 0 |
| Trumbull | 1 | 1 | 0 |
| Mercer | 1 | 1 | 0 |
| Highland | 1 | 1 | 0 |
| Stark | 1 | 1 | 0 |
| Mahoning | 1 | 1 | 0 |
| Henry | 1 | 1 | 0 |
| All districts (88) | 551 | 551 | 193 |
The Buy Flooring stores database includes 551+ verified Buy Flooring 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 551+ live Buy Flooring 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 Buy Flooring stores CSV for Ohio, United States ships immediately after payment and includes all verified store-level fields.
The CSV ships with one row per Buy Flooring location, columns covering Buy Flooring 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 Buy Flooring 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 Buy Flooring 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 Buy Flooring 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 Buy Flooring stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to reach world wide data decision-makers in Ohio, United States? This database aggregates 551+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
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):
551
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
