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This dataset covers 333 verified records spread across 88+ districts in Ohio. 333 records carry a verified phone number and 117 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Mahoning (66 listings), Highland (33 listings), Ashland (22 listings), Wyandot (16 listings), Darke (13 listings), Trumbull (11 listings), Muskingum (9 listings), and Tuscarawas (8 listings).
Additional coverage spans Clinton (7), Franklin (7), Preble (6), Seneca (5), Lake (5), Ottawa (5), Allen (4), Hancock (4), Clark (4), Gallia (4), Guernsey (3), Lawrence (3) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Mahoning | 66 | 66 | 23 |
| Highland | 33 | 33 | 12 |
| Ashland | 22 | 22 | 8 |
| Wyandot | 16 | 16 | 6 |
| Darke | 13 | 13 | 5 |
| Trumbull | 11 | 11 | 4 |
| Muskingum | 9 | 9 | 3 |
| Tuscarawas | 8 | 8 | 3 |
| Clinton | 7 | 7 | 2 |
| Franklin | 7 | 7 | 2 |
| All districts (88) | 333 | 333 | 117 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Mahoning | 66 | 66 | 23 |
| Highland | 33 | 33 | 12 |
| Ashland | 22 | 22 | 8 |
| Wyandot | 16 | 16 | 6 |
| Darke | 13 | 13 | 5 |
| Trumbull | 11 | 11 | 4 |
| Muskingum | 9 | 9 | 3 |
| Tuscarawas | 8 | 8 | 3 |
| Clinton | 7 | 7 | 2 |
| Franklin | 7 | 7 | 2 |
| Preble | 6 | 6 | 2 |
| Seneca | 5 | 5 | 2 |
| Lake | 5 | 5 | 2 |
| Ottawa | 5 | 5 | 2 |
| Allen | 4 | 4 | 1 |
| Hancock | 4 | 4 | 1 |
| Clark | 4 | 4 | 1 |
| Gallia | 4 | 4 | 1 |
| Guernsey | 3 | 3 | 1 |
| Lawrence | 3 | 3 | 1 |
| Montgomery | 3 | 3 | 1 |
| Greene | 3 | 3 | 1 |
| Shelby | 3 | 3 | 1 |
| Pike | 3 | 3 | 1 |
| Morrow | 3 | 3 | 1 |
| Holmes | 3 | 3 | 1 |
| Adams | 2 | 2 | 1 |
| Jackson | 2 | 2 | 1 |
| Hamilton | 2 | 2 | 1 |
| Ashtabula | 2 | 2 | 1 |
| Wayne | 2 | 2 | 1 |
| Butler | 2 | 2 | 1 |
| Defiance | 2 | 2 | 1 |
| Fairfield | 2 | 2 | 1 |
| Athens | 2 | 2 | 1 |
| Erie | 2 | 2 | 1 |
| Paulding | 2 | 2 | 1 |
| Fayette | 2 | 2 | 1 |
| Carroll | 2 | 2 | 1 |
| Jefferson | 2 | 2 | 1 |
| Richland | 2 | 2 | 1 |
| Pickaway | 2 | 2 | 1 |
| Crawford | 2 | 2 | 1 |
| Noble | 2 | 2 | 1 |
| Miami | 1 | 1 | 0 |
| Perry | 1 | 1 | 0 |
| Washington | 1 | 1 | 0 |
| Madison | 1 | 1 | 0 |
| Hocking | 1 | 1 | 0 |
| Harrison | 1 | 1 | 0 |
| Logan | 1 | 1 | 0 |
| Williams | 1 | 1 | 0 |
| Fulton | 1 | 1 | 0 |
| Geauga | 1 | 1 | 0 |
| Vinton | 1 | 1 | 0 |
| Portage | 1 | 1 | 0 |
| Brown | 1 | 1 | 0 |
| Knox | 1 | 1 | 0 |
| Warren | 1 | 1 | 0 |
| Belmont | 1 | 1 | 0 |
| Licking | 1 | 1 | 0 |
| Wood | 1 | 1 | 0 |
| Clermont | 1 | 1 | 0 |
| Van Wert | 1 | 1 | 0 |
| Meigs | 1 | 1 | 0 |
| Stark | 1 | 1 | 0 |
| Lorain | 1 | 1 | 0 |
| Morgan | 1 | 1 | 0 |
| Henry | 1 | 1 | 0 |
| Sandusky | 1 | 1 | 0 |
| Champaign | 1 | 1 | 0 |
| Monroe | 1 | 1 | 0 |
| Union | 1 | 1 | 0 |
| Scioto | 1 | 1 | 0 |
| Delaware | 1 | 1 | 0 |
| Coshocton | 1 | 1 | 0 |
| Cuyahoga | 1 | 1 | 0 |
| Auglaize | 1 | 1 | 0 |
| Mercer | 1 | 1 | 0 |
| Ross | 1 | 1 | 0 |
| Huron | 1 | 1 | 0 |
| Putnam | 1 | 1 | 0 |
| Columbiana | 1 | 1 | 0 |
| Hardin | 1 | 1 | 0 |
| Medina | 1 | 1 | 0 |
| Summit | 1 | 1 | 0 |
| Lucas | 1 | 1 | 0 |
| Marion | 1 | 1 | 0 |
| All districts (88) | 333 | 333 | 117 |
The Book stores database includes 333+ verified Book 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 333+ live Book 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 Book stores CSV for Ohio, United States ships immediately after payment and includes all verified store-level fields.
Each Book record carries the full operational profile: Book 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.
We verify each Book 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 Book 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 Book 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 Book 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 333+ 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):
333
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
