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This dataset covers 805 verified records spread across 88+ districts in Ohio. 805 records carry a verified phone number and 282 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Franklin (159 listings), Highland (80 listings), Brown (53 listings), Mahoning (40 listings), Athens (32 listings), Logan (27 listings), Trumbull (23 listings), and Butler (20 listings).
Additional coverage spans Lake (18), Perry (16), Washington (14), Miami (13), Pike (12), Lawrence (11), Guernsey (11), Shelby (10), Morrow (9), Noble (9), Portage (8), Greene (8) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Franklin | 159 | 159 | 56 |
| Highland | 80 | 80 | 28 |
| Brown | 53 | 53 | 19 |
| Mahoning | 40 | 40 | 14 |
| Athens | 32 | 32 | 11 |
| Logan | 27 | 27 | 9 |
| Trumbull | 23 | 23 | 8 |
| Butler | 20 | 20 | 7 |
| Lake | 18 | 18 | 6 |
| Perry | 16 | 16 | 6 |
| All districts (88) | 805 | 805 | 282 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Franklin | 159 | 159 | 56 |
| Highland | 80 | 80 | 28 |
| Brown | 53 | 53 | 19 |
| Mahoning | 40 | 40 | 14 |
| Athens | 32 | 32 | 11 |
| Logan | 27 | 27 | 9 |
| Trumbull | 23 | 23 | 8 |
| Butler | 20 | 20 | 7 |
| Lake | 18 | 18 | 6 |
| Perry | 16 | 16 | 6 |
| Washington | 14 | 14 | 5 |
| Miami | 13 | 13 | 5 |
| Pike | 12 | 12 | 4 |
| Lawrence | 11 | 11 | 4 |
| Guernsey | 11 | 11 | 4 |
| Shelby | 10 | 10 | 4 |
| Morrow | 9 | 9 | 3 |
| Noble | 9 | 9 | 3 |
| Portage | 8 | 8 | 3 |
| Greene | 8 | 8 | 3 |
| Lucas | 8 | 8 | 3 |
| Holmes | 7 | 7 | 2 |
| Defiance | 7 | 7 | 2 |
| Huron | 7 | 7 | 2 |
| Champaign | 6 | 6 | 2 |
| Ottawa | 6 | 6 | 2 |
| Licking | 6 | 6 | 2 |
| Belmont | 6 | 6 | 2 |
| Columbiana | 5 | 5 | 2 |
| Gallia | 5 | 5 | 2 |
| Union | 5 | 5 | 2 |
| Hamilton | 5 | 5 | 2 |
| Richland | 5 | 5 | 2 |
| Paulding | 5 | 5 | 2 |
| Seneca | 5 | 5 | 2 |
| Henry | 4 | 4 | 1 |
| Coshocton | 4 | 4 | 1 |
| Stark | 4 | 4 | 1 |
| Preble | 4 | 4 | 1 |
| Pickaway | 4 | 4 | 1 |
| Erie | 4 | 4 | 1 |
| Meigs | 4 | 4 | 1 |
| Hocking | 4 | 4 | 1 |
| Madison | 4 | 4 | 1 |
| Medina | 4 | 4 | 1 |
| Summit | 3 | 3 | 1 |
| Muskingum | 3 | 3 | 1 |
| Putnam | 3 | 3 | 1 |
| Montgomery | 3 | 3 | 1 |
| Hardin | 3 | 3 | 1 |
| Harrison | 3 | 3 | 1 |
| Marion | 3 | 3 | 1 |
| Scioto | 3 | 3 | 1 |
| Clark | 3 | 3 | 1 |
| Crawford | 3 | 3 | 1 |
| Carroll | 3 | 3 | 1 |
| Fayette | 3 | 3 | 1 |
| Allen | 3 | 3 | 1 |
| Mercer | 3 | 3 | 1 |
| Morgan | 3 | 3 | 1 |
| Lorain | 3 | 3 | 1 |
| Jackson | 3 | 3 | 1 |
| Monroe | 3 | 3 | 1 |
| Knox | 2 | 2 | 1 |
| Williams | 2 | 2 | 1 |
| Tuscarawas | 2 | 2 | 1 |
| Darke | 2 | 2 | 1 |
| Wood | 2 | 2 | 1 |
| Warren | 2 | 2 | 1 |
| Ashtabula | 2 | 2 | 1 |
| Hancock | 2 | 2 | 1 |
| Sandusky | 2 | 2 | 1 |
| Fulton | 2 | 2 | 1 |
| Geauga | 2 | 2 | 1 |
| Clermont | 2 | 2 | 1 |
| Van Wert | 2 | 2 | 1 |
| Vinton | 2 | 2 | 1 |
| Fairfield | 2 | 2 | 1 |
| Wyandot | 2 | 2 | 1 |
| Ashland | 2 | 2 | 1 |
| Ross | 2 | 2 | 1 |
| Wayne | 2 | 2 | 1 |
| Delaware | 2 | 2 | 1 |
| Adams | 2 | 2 | 1 |
| Clinton | 2 | 2 | 1 |
| Auglaize | 2 | 2 | 1 |
| Jefferson | 2 | 2 | 1 |
| Cuyahoga | 2 | 2 | 1 |
| All districts (88) | 805 | 805 | 282 |
The Thrift stores database includes 805+ verified Thrift 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.
Charlotte (IN) bought 2 days ago · Jodie (US) bought 2 days ago · Tim (US) bought 4 days ago
There are roughly 805+ Thrift stores in Ohio, United States as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
The complete Thrift stores database for Ohio, United States is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Thrift location with address, phone, hours, website and GPS coordinates.
Each Thrift record carries the full operational profile: Thrift 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.
Triple-source verification: the Thrift store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
Yes. The Thrift 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 Thrift 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 Thrift stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for Ohio, United States is a 805+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 06, 2026 02:32 AM
Published:
May 11, 2026 04:04 AM
Rows (Extended):
805
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
