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This dataset covers 170 verified records spread across 88+ districts in Ohio. 170 records carry a verified phone number and 60 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Erie (34 listings), Ottawa (17 listings), Madison (11 listings), Hocking (8 listings), Darke (7 listings), Coshocton (6 listings), Gallia (5 listings), and Greene (4 listings).
Additional coverage spans Delaware (4), Morrow (3), Shelby (3), Cuyahoga (3), Auglaize (3), Holmes (2), Clark (2), Sandusky (2), Licking (2), Belmont (2), Allen (2), Champaign (2) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Erie | 34 | 34 | 12 |
| Ottawa | 17 | 17 | 6 |
| Madison | 11 | 11 | 4 |
| Hocking | 8 | 8 | 3 |
| Darke | 7 | 7 | 2 |
| Coshocton | 6 | 6 | 2 |
| Gallia | 5 | 5 | 2 |
| Greene | 4 | 4 | 1 |
| Delaware | 4 | 4 | 1 |
| Morrow | 3 | 3 | 1 |
| All districts (88) | 170 | 170 | 60 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Erie | 34 | 34 | 12 |
| Ottawa | 17 | 17 | 6 |
| Madison | 11 | 11 | 4 |
| Hocking | 8 | 8 | 3 |
| Darke | 7 | 7 | 2 |
| Coshocton | 6 | 6 | 2 |
| Gallia | 5 | 5 | 2 |
| Greene | 4 | 4 | 1 |
| Delaware | 4 | 4 | 1 |
| Morrow | 3 | 3 | 1 |
| Shelby | 3 | 3 | 1 |
| Cuyahoga | 3 | 3 | 1 |
| Auglaize | 3 | 3 | 1 |
| Holmes | 2 | 2 | 1 |
| Clark | 2 | 2 | 1 |
| Sandusky | 2 | 2 | 1 |
| Licking | 2 | 2 | 1 |
| Belmont | 2 | 2 | 1 |
| Allen | 2 | 2 | 1 |
| Champaign | 2 | 2 | 1 |
| Clermont | 2 | 2 | 1 |
| Portage | 2 | 2 | 1 |
| Preble | 1 | 1 | 0 |
| Van Wert | 1 | 1 | 0 |
| Seneca | 1 | 1 | 0 |
| Pike | 1 | 1 | 0 |
| Adams | 1 | 1 | 0 |
| Athens | 1 | 1 | 0 |
| Montgomery | 1 | 1 | 0 |
| Williams | 1 | 1 | 0 |
| Lake | 1 | 1 | 0 |
| Wayne | 1 | 1 | 0 |
| Harrison | 1 | 1 | 0 |
| Tuscarawas | 1 | 1 | 0 |
| Butler | 1 | 1 | 0 |
| Crawford | 1 | 1 | 0 |
| Paulding | 1 | 1 | 0 |
| Richland | 1 | 1 | 0 |
| Miami | 1 | 1 | 0 |
| Fulton | 1 | 1 | 0 |
| Geauga | 1 | 1 | 0 |
| Clinton | 1 | 1 | 0 |
| Fairfield | 1 | 1 | 0 |
| Vinton | 1 | 1 | 0 |
| Pickaway | 1 | 1 | 0 |
| Columbiana | 1 | 1 | 0 |
| Wyandot | 1 | 1 | 0 |
| Ashland | 1 | 1 | 0 |
| Warren | 1 | 1 | 0 |
| Jefferson | 1 | 1 | 0 |
| Ross | 1 | 1 | 0 |
| Perry | 1 | 1 | 0 |
| Brown | 1 | 1 | 0 |
| Ashtabula | 1 | 1 | 0 |
| Defiance | 1 | 1 | 0 |
| Logan | 1 | 1 | 0 |
| Hancock | 1 | 1 | 0 |
| Hamilton | 1 | 1 | 0 |
| Meigs | 1 | 1 | 0 |
| Knox | 1 | 1 | 0 |
| Scioto | 1 | 1 | 0 |
| Mercer | 1 | 1 | 0 |
| Wood | 1 | 1 | 0 |
| Hardin | 1 | 1 | 0 |
| Putnam | 1 | 1 | 0 |
| Jackson | 1 | 1 | 0 |
| Medina | 1 | 1 | 0 |
| Summit | 1 | 1 | 0 |
| Henry | 1 | 1 | 0 |
| Stark | 1 | 1 | 0 |
| Guernsey | 1 | 1 | 0 |
| Lawrence | 1 | 1 | 0 |
| Marion | 1 | 1 | 0 |
| Carroll | 1 | 1 | 0 |
| Fayette | 1 | 1 | 0 |
| Huron | 1 | 1 | 0 |
| Muskingum | 1 | 1 | 0 |
| Franklin | 1 | 1 | 0 |
| Union | 1 | 1 | 0 |
| Mahoning | 1 | 1 | 0 |
| Lorain | 1 | 1 | 0 |
| Noble | 1 | 1 | 0 |
| Morgan | 1 | 1 | 0 |
| Highland | 1 | 1 | 0 |
| Lucas | 1 | 1 | 0 |
| Trumbull | 1 | 1 | 0 |
| Washington | 1 | 1 | 0 |
| Monroe | 1 | 1 | 0 |
| All districts (88) | 170 | 170 | 60 |
The Department stores database includes 170+ verified Department 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.
Antwon (US) bought 1 day ago · Elmore (US) bought 1 day ago · Poppy (US) bought 4 days ago · Annette (US) bought 5 days ago · Alfie (AU) bought 1 week ago
Our latest 2026 count shows 170+ live Department stores across Ohio, United States. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Data2Sales AI hosts the most up-to-date Department stores list for Ohio, United States; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Each Department record carries the full operational profile: Department 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.
Every Department location is cross-referenced across the Department 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 Department footprint in Ohio, United States.
Yes. The Department 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 Department 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 Department 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 170+ 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.
Last Update:
Aug 15, 2026 05:45 AM
Published:
May 11, 2026 04:04 AM
Rows (Extended):
170
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
