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This dataset covers 463 verified records spread across 88+ districts in Ohio. 463 records carry a verified phone number and 162 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Ashland (91 listings), Wyandot (46 listings), Champaign (30 listings), Lawrence (23 listings), Guernsey (18 listings), Clinton (15 listings), Mahoning (13 listings), and Highland (11 listings).
Additional coverage spans Hancock (10), Vinton (9), Trumbull (8), Wayne (8), Geauga (7), Fulton (7), Franklin (6), Erie (6), Sandusky (6), Warren (5), Coshocton (5), Adams (5) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Ashland | 91 | 91 | 32 |
| Wyandot | 46 | 46 | 16 |
| Champaign | 30 | 30 | 11 |
| Lawrence | 23 | 23 | 8 |
| Guernsey | 18 | 18 | 6 |
| Clinton | 15 | 15 | 5 |
| Mahoning | 13 | 13 | 5 |
| Highland | 11 | 11 | 4 |
| Hancock | 10 | 10 | 4 |
| Vinton | 9 | 9 | 3 |
| All districts (88) | 463 | 463 | 162 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Ashland | 91 | 91 | 32 |
| Wyandot | 46 | 46 | 16 |
| Champaign | 30 | 30 | 11 |
| Lawrence | 23 | 23 | 8 |
| Guernsey | 18 | 18 | 6 |
| Clinton | 15 | 15 | 5 |
| Mahoning | 13 | 13 | 5 |
| Highland | 11 | 11 | 4 |
| Hancock | 10 | 10 | 4 |
| Vinton | 9 | 9 | 3 |
| Trumbull | 8 | 8 | 3 |
| Wayne | 8 | 8 | 3 |
| Geauga | 7 | 7 | 2 |
| Fulton | 7 | 7 | 2 |
| Franklin | 6 | 6 | 2 |
| Erie | 6 | 6 | 2 |
| Sandusky | 6 | 6 | 2 |
| Warren | 5 | 5 | 2 |
| Coshocton | 5 | 5 | 2 |
| Adams | 5 | 5 | 2 |
| Jackson | 5 | 5 | 2 |
| Montgomery | 4 | 4 | 1 |
| Richland | 4 | 4 | 1 |
| Monroe | 4 | 4 | 1 |
| Paulding | 4 | 4 | 1 |
| Allen | 4 | 4 | 1 |
| Pickaway | 4 | 4 | 1 |
| Morgan | 3 | 3 | 1 |
| Lorain | 3 | 3 | 1 |
| Clark | 3 | 3 | 1 |
| Mercer | 3 | 3 | 1 |
| Lake | 3 | 3 | 1 |
| Hamilton | 3 | 3 | 1 |
| Scioto | 3 | 3 | 1 |
| Marion | 3 | 3 | 1 |
| Carroll | 3 | 3 | 1 |
| Pike | 3 | 3 | 1 |
| Fayette | 2 | 2 | 1 |
| Summit | 2 | 2 | 1 |
| Medina | 2 | 2 | 1 |
| Defiance | 2 | 2 | 1 |
| Tuscarawas | 2 | 2 | 1 |
| Darke | 2 | 2 | 1 |
| Putnam | 2 | 2 | 1 |
| Hardin | 2 | 2 | 1 |
| Lucas | 2 | 2 | 1 |
| Williams | 2 | 2 | 1 |
| Noble | 2 | 2 | 1 |
| Ashtabula | 2 | 2 | 1 |
| Seneca | 2 | 2 | 1 |
| Huron | 2 | 2 | 1 |
| Preble | 2 | 2 | 1 |
| Columbiana | 2 | 2 | 1 |
| Hocking | 2 | 2 | 1 |
| Madison | 2 | 2 | 1 |
| Union | 2 | 2 | 1 |
| Gallia | 2 | 2 | 1 |
| Portage | 2 | 2 | 1 |
| Crawford | 2 | 2 | 1 |
| Ross | 2 | 2 | 1 |
| Stark | 2 | 2 | 1 |
| Henry | 1 | 1 | 0 |
| Ottawa | 1 | 1 | 0 |
| Jefferson | 1 | 1 | 0 |
| Holmes | 1 | 1 | 0 |
| Fairfield | 1 | 1 | 0 |
| Meigs | 1 | 1 | 0 |
| Shelby | 1 | 1 | 0 |
| Belmont | 1 | 1 | 0 |
| Licking | 1 | 1 | 0 |
| Morrow | 1 | 1 | 0 |
| Greene | 1 | 1 | 0 |
| Harrison | 1 | 1 | 0 |
| Delaware | 1 | 1 | 0 |
| Auglaize | 1 | 1 | 0 |
| Cuyahoga | 1 | 1 | 0 |
| Muskingum | 1 | 1 | 0 |
| Brown | 1 | 1 | 0 |
| Butler | 1 | 1 | 0 |
| Logan | 1 | 1 | 0 |
| Clermont | 1 | 1 | 0 |
| Athens | 1 | 1 | 0 |
| Van Wert | 1 | 1 | 0 |
| Perry | 1 | 1 | 0 |
| Washington | 1 | 1 | 0 |
| Miami | 1 | 1 | 0 |
| Knox | 1 | 1 | 0 |
| Wood | 1 | 1 | 0 |
| All districts (88) | 463 | 463 | 162 |
The Fine Dining restaurants database includes 463+ verified Fine Dining restaurants 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.
Fine Dining currently operates 463+ restaurants in Ohio, United States (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
The complete Fine Dining restaurants database for Ohio, United States is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Fine Dining location with address, phone, hours, website and GPS coordinates.
Every record in the Fine Dining restaurants dataset includes: Fine Dining store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Every Fine Dining location is cross-referenced across the Fine Dining store locator, Google Maps and licensed business directories before it ships. Closed storefronts, disconnected phones and duplicate listings are stripped on every monthly refresh, so the CSV you download reflects the live Fine Dining footprint in Ohio, United States.
Yes. The Fine Dining restaurants 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 Fine Dining 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 Fine Dining restaurants — 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 463+ 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.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 04:04 AM
Rows (Extended):
463
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
