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This dataset covers 6,294 verified records spread across 88+ districts in Ohio. 6,294 records carry a verified phone number and 2,203 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Defiance (1,244 listings), Butler (622 listings), Ross (415 listings), Adams (311 listings), Muskingum (249 listings), Portage (207 listings), Hamilton (178 listings), and Belmont (155 listings).
Additional coverage spans Licking (138), Wayne (124), Pickaway (113), Paulding (104), Richland (96), Athens (89), Hocking (83), Madison (78), Seneca (73), Darke (69), Montgomery (65), Ashtabula (62) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Defiance | 1,244 | 1,244 | 435 |
| Butler | 622 | 622 | 218 |
| Ross | 415 | 415 | 145 |
| Adams | 311 | 311 | 109 |
| Muskingum | 249 | 249 | 87 |
| Portage | 207 | 207 | 72 |
| Hamilton | 178 | 178 | 62 |
| Belmont | 155 | 155 | 54 |
| Licking | 138 | 138 | 48 |
| Wayne | 124 | 124 | 43 |
| All districts (88) | 6,294 | 6,294 | 2,203 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Defiance | 1,244 | 1,244 | 435 |
| Butler | 622 | 622 | 218 |
| Ross | 415 | 415 | 145 |
| Adams | 311 | 311 | 109 |
| Muskingum | 249 | 249 | 87 |
| Portage | 207 | 207 | 72 |
| Hamilton | 178 | 178 | 62 |
| Belmont | 155 | 155 | 54 |
| Licking | 138 | 138 | 48 |
| Wayne | 124 | 124 | 43 |
| Pickaway | 113 | 113 | 40 |
| Paulding | 104 | 104 | 36 |
| Richland | 96 | 96 | 34 |
| Athens | 89 | 89 | 31 |
| Hocking | 83 | 83 | 29 |
| Madison | 78 | 78 | 27 |
| Seneca | 73 | 73 | 26 |
| Darke | 69 | 69 | 24 |
| Montgomery | 65 | 65 | 23 |
| Ashtabula | 62 | 62 | 22 |
| Franklin | 59 | 59 | 21 |
| Preble | 57 | 57 | 20 |
| Trumbull | 54 | 54 | 19 |
| Knox | 52 | 52 | 18 |
| Wood | 50 | 50 | 18 |
| Mahoning | 48 | 48 | 17 |
| Highland | 46 | 46 | 16 |
| Morrow | 44 | 44 | 15 |
| Shelby | 43 | 43 | 15 |
| Greene | 41 | 41 | 14 |
| Holmes | 40 | 40 | 14 |
| Clark | 39 | 39 | 14 |
| Allen | 38 | 38 | 13 |
| Fairfield | 37 | 37 | 13 |
| Jefferson | 36 | 36 | 13 |
| Tuscarawas | 35 | 35 | 12 |
| Guernsey | 34 | 34 | 12 |
| Ottawa | 33 | 33 | 12 |
| Lawrence | 32 | 32 | 11 |
| Gallia | 31 | 31 | 11 |
| Hancock | 30 | 30 | 11 |
| Sandusky | 30 | 30 | 11 |
| Morgan | 29 | 29 | 10 |
| Meigs | 28 | 28 | 10 |
| Lorain | 28 | 28 | 10 |
| Monroe | 27 | 27 | 9 |
| Columbiana | 26 | 26 | 9 |
| Van Wert | 26 | 26 | 9 |
| Erie | 25 | 25 | 9 |
| Henry | 25 | 25 | 9 |
| Clermont | 24 | 24 | 8 |
| Stark | 24 | 24 | 8 |
| Huron | 23 | 23 | 8 |
| Ashland | 23 | 23 | 8 |
| Summit | 23 | 23 | 8 |
| Wyandot | 22 | 22 | 8 |
| Medina | 22 | 22 | 8 |
| Hardin | 21 | 21 | 7 |
| Putnam | 21 | 21 | 7 |
| Marion | 21 | 21 | 7 |
| Union | 20 | 20 | 7 |
| Noble | 20 | 20 | 7 |
| Cuyahoga | 20 | 20 | 7 |
| Auglaize | 19 | 19 | 7 |
| Clinton | 19 | 19 | 7 |
| Scioto | 19 | 19 | 7 |
| Lucas | 19 | 19 | 7 |
| Delaware | 18 | 18 | 6 |
| Mercer | 18 | 18 | 6 |
| Miami | 18 | 18 | 6 |
| Lake | 18 | 18 | 6 |
| Harrison | 17 | 17 | 6 |
| Pike | 17 | 17 | 6 |
| Crawford | 17 | 17 | 6 |
| Fayette | 17 | 17 | 6 |
| Carroll | 16 | 16 | 6 |
| Champaign | 16 | 16 | 6 |
| Perry | 16 | 16 | 6 |
| Brown | 16 | 16 | 6 |
| Warren | 16 | 16 | 6 |
| Jackson | 15 | 15 | 5 |
| Coshocton | 15 | 15 | 5 |
| Logan | 15 | 15 | 5 |
| Fulton | 15 | 15 | 5 |
| Geauga | 15 | 15 | 5 |
| Williams | 14 | 14 | 5 |
| Washington | 14 | 14 | 5 |
| Vinton | 13 | 13 | 5 |
| All districts (88) | 6,294 | 6,294 | 2,203 |
The Grocery stores database includes 6,294+ verified Grocery 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 Grocery footprint in Ohio, United States sits at about 6,294+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
This page IS the download point. The Grocery stores CSV for Ohio, United States ships immediately after payment and includes all verified store-level fields.
Every record in the Grocery stores dataset includes: Grocery 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 Grocery row goes through phone validation, address cross-check against Google Maps and a check against the official Grocery Ohio, United States locator. Records that fail any of those drop before you ever see them.
Yes. The Grocery 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 Grocery 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 Grocery 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 6,294+ 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 (Regular):
2,832
Rows (Extended):
6,294
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
