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This dataset covers 3,333 verified records spread across 88+ districts in Ohio. 3,333 records carry a verified phone number and 1,167 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Preble (659 listings), Jefferson (329 listings), Seneca (220 listings), Jackson (165 listings), Logan (132 listings), Brown (110 listings), Williams (94 listings), and Fairfield (82 listings).
Additional coverage spans Perry (73), Holmes (66), Harrison (60), Greene (55), Shelby (51), Morrow (47), Crawford (44), Knox (41), Gallia (39), Washington (37), Miami (35), Ottawa (33) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Preble | 659 | 659 | 231 |
| Jefferson | 329 | 329 | 115 |
| Seneca | 220 | 220 | 77 |
| Jackson | 165 | 165 | 58 |
| Logan | 132 | 132 | 46 |
| Brown | 110 | 110 | 39 |
| Williams | 94 | 94 | 33 |
| Fairfield | 82 | 82 | 29 |
| Perry | 73 | 73 | 26 |
| Holmes | 66 | 66 | 23 |
| All districts (88) | 3,333 | 3,333 | 1,167 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Preble | 659 | 659 | 231 |
| Jefferson | 329 | 329 | 115 |
| Seneca | 220 | 220 | 77 |
| Jackson | 165 | 165 | 58 |
| Logan | 132 | 132 | 46 |
| Brown | 110 | 110 | 39 |
| Williams | 94 | 94 | 33 |
| Fairfield | 82 | 82 | 29 |
| Perry | 73 | 73 | 26 |
| Holmes | 66 | 66 | 23 |
| Harrison | 60 | 60 | 21 |
| Greene | 55 | 55 | 19 |
| Shelby | 51 | 51 | 18 |
| Morrow | 47 | 47 | 16 |
| Crawford | 44 | 44 | 15 |
| Knox | 41 | 41 | 14 |
| Gallia | 39 | 39 | 14 |
| Washington | 37 | 37 | 13 |
| Miami | 35 | 35 | 12 |
| Ottawa | 33 | 33 | 12 |
| Carroll | 31 | 31 | 11 |
| Ashtabula | 30 | 30 | 11 |
| Wood | 29 | 29 | 10 |
| Fayette | 27 | 27 | 9 |
| Noble | 26 | 26 | 9 |
| Ashland | 25 | 25 | 9 |
| Wyandot | 24 | 24 | 8 |
| Butler | 24 | 24 | 8 |
| Lucas | 23 | 23 | 8 |
| Auglaize | 22 | 22 | 8 |
| Cuyahoga | 21 | 21 | 7 |
| Union | 21 | 21 | 7 |
| Clinton | 20 | 20 | 7 |
| Huron | 19 | 19 | 7 |
| Columbiana | 19 | 19 | 7 |
| Delaware | 18 | 18 | 6 |
| Henry | 18 | 18 | 6 |
| Sandusky | 17 | 17 | 6 |
| Stark | 17 | 17 | 6 |
| Hancock | 16 | 16 | 6 |
| Ross | 16 | 16 | 6 |
| Van Wert | 16 | 16 | 6 |
| Athens | 15 | 15 | 5 |
| Clermont | 15 | 15 | 5 |
| Meigs | 15 | 15 | 5 |
| Muskingum | 14 | 14 | 5 |
| Montgomery | 14 | 14 | 5 |
| Clark | 14 | 14 | 5 |
| Coshocton | 13 | 13 | 5 |
| Guernsey | 13 | 13 | 5 |
| Allen | 13 | 13 | 5 |
| Lawrence | 13 | 13 | 5 |
| Lake | 12 | 12 | 4 |
| Champaign | 12 | 12 | 4 |
| Franklin | 12 | 12 | 4 |
| Warren | 12 | 12 | 4 |
| Trumbull | 12 | 12 | 4 |
| Darke | 11 | 11 | 4 |
| Vinton | 11 | 11 | 4 |
| Pike | 11 | 11 | 4 |
| Mahoning | 11 | 11 | 4 |
| Tuscarawas | 11 | 11 | 4 |
| Fulton | 10 | 10 | 4 |
| Geauga | 10 | 10 | 4 |
| Highland | 10 | 10 | 4 |
| Pickaway | 10 | 10 | 4 |
| Monroe | 10 | 10 | 4 |
| Richland | 10 | 10 | 4 |
| Lorain | 10 | 10 | 4 |
| Paulding | 9 | 9 | 3 |
| Morgan | 9 | 9 | 3 |
| Madison | 9 | 9 | 3 |
| Hocking | 9 | 9 | 3 |
| Defiance | 9 | 9 | 3 |
| Marion | 9 | 9 | 3 |
| Portage | 9 | 9 | 3 |
| Wayne | 9 | 9 | 3 |
| Putnam | 8 | 8 | 3 |
| Hardin | 8 | 8 | 3 |
| Medina | 8 | 8 | 3 |
| Summit | 8 | 8 | 3 |
| Erie | 8 | 8 | 3 |
| Adams | 8 | 8 | 3 |
| Mercer | 8 | 8 | 3 |
| Hamilton | 8 | 8 | 3 |
| Belmont | 8 | 8 | 3 |
| Licking | 8 | 8 | 3 |
| Scioto | 6 | 6 | 2 |
| All districts (88) | 3,333 | 3,333 | 1,167 |
The Convenience stores database includes 3,333+ verified Convenience 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.
Counting only operational sites, the Convenience footprint in Ohio, United States sits at about 3,333+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
This page IS the download point. The Convenience stores CSV for Ohio, United States ships immediately after payment and includes all verified store-level fields.
Every record in the Convenience stores dataset includes: Convenience 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.
Each Convenience row goes through phone validation, address cross-check against Google Maps and a check against the official Convenience Ohio, United States locator. Records that fail any of those drop before you ever see them.
Yes. The Convenience 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 Convenience 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 Convenience stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Data2Sales AI's World Wide Data database for Ohio, United States consolidates 3,333+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.
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 (Regular):
1,500
Rows (Extended):
3,333
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
