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This dataset covers 279 verified records spread across 88+ districts in Ohio. 279 records carry a verified phone number and 98 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Fairfield (55 listings), Monroe (28 listings), Portage (18 listings), Delaware (14 listings), Auglaize (11 listings), Lorain (9 listings), Cuyahoga (8 listings), and Morgan (7 listings).
Additional coverage spans Logan (6), Licking (6), Belmont (5), Jefferson (5), Brown (4), Clermont (4), Ashtabula (4), Perry (3), Marion (3), Knox (3), Hardin (3), Wood (3) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Fairfield | 55 | 55 | 19 |
| Monroe | 28 | 28 | 10 |
| Portage | 18 | 18 | 6 |
| Delaware | 14 | 14 | 5 |
| Auglaize | 11 | 11 | 4 |
| Lorain | 9 | 9 | 3 |
| Cuyahoga | 8 | 8 | 3 |
| Morgan | 7 | 7 | 2 |
| Logan | 6 | 6 | 2 |
| Licking | 6 | 6 | 2 |
| All districts (88) | 279 | 279 | 98 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Fairfield | 55 | 55 | 19 |
| Monroe | 28 | 28 | 10 |
| Portage | 18 | 18 | 6 |
| Delaware | 14 | 14 | 5 |
| Auglaize | 11 | 11 | 4 |
| Lorain | 9 | 9 | 3 |
| Cuyahoga | 8 | 8 | 3 |
| Morgan | 7 | 7 | 2 |
| Logan | 6 | 6 | 2 |
| Licking | 6 | 6 | 2 |
| Belmont | 5 | 5 | 2 |
| Jefferson | 5 | 5 | 2 |
| Brown | 4 | 4 | 1 |
| Clermont | 4 | 4 | 1 |
| Ashtabula | 4 | 4 | 1 |
| Perry | 3 | 3 | 1 |
| Marion | 3 | 3 | 1 |
| Knox | 3 | 3 | 1 |
| Hardin | 3 | 3 | 1 |
| Wood | 3 | 3 | 1 |
| Van Wert | 3 | 3 | 1 |
| Putnam | 3 | 3 | 1 |
| Summit | 2 | 2 | 1 |
| Medina | 2 | 2 | 1 |
| Mercer | 2 | 2 | 1 |
| Hocking | 2 | 2 | 1 |
| Madison | 2 | 2 | 1 |
| Scioto | 2 | 2 | 1 |
| Sandusky | 2 | 2 | 1 |
| Miami | 2 | 2 | 1 |
| Williams | 2 | 2 | 1 |
| Lucas | 2 | 2 | 1 |
| Noble | 2 | 2 | 1 |
| Union | 2 | 2 | 1 |
| Tuscarawas | 2 | 2 | 1 |
| Huron | 2 | 2 | 1 |
| Stark | 1 | 1 | 0 |
| Muskingum | 1 | 1 | 0 |
| Montgomery | 1 | 1 | 0 |
| Henry | 1 | 1 | 0 |
| Crawford | 1 | 1 | 0 |
| Warren | 1 | 1 | 0 |
| Vinton | 1 | 1 | 0 |
| Ross | 1 | 1 | 0 |
| Harrison | 1 | 1 | 0 |
| Fulton | 1 | 1 | 0 |
| Geauga | 1 | 1 | 0 |
| Meigs | 1 | 1 | 0 |
| Coshocton | 1 | 1 | 0 |
| Hancock | 1 | 1 | 0 |
| Butler | 1 | 1 | 0 |
| Richland | 1 | 1 | 0 |
| Paulding | 1 | 1 | 0 |
| Allen | 1 | 1 | 0 |
| Clark | 1 | 1 | 0 |
| Pickaway | 1 | 1 | 0 |
| Pike | 1 | 1 | 0 |
| Wyandot | 1 | 1 | 0 |
| Ashland | 1 | 1 | 0 |
| Hamilton | 1 | 1 | 0 |
| Athens | 1 | 1 | 0 |
| Lake | 1 | 1 | 0 |
| Champaign | 1 | 1 | 0 |
| Darke | 1 | 1 | 0 |
| Defiance | 1 | 1 | 0 |
| Clinton | 1 | 1 | 0 |
| Columbiana | 1 | 1 | 0 |
| Preble | 1 | 1 | 0 |
| Seneca | 1 | 1 | 0 |
| Guernsey | 1 | 1 | 0 |
| Lawrence | 1 | 1 | 0 |
| Washington | 1 | 1 | 0 |
| Fayette | 1 | 1 | 0 |
| Carroll | 1 | 1 | 0 |
| Wayne | 1 | 1 | 0 |
| Mahoning | 1 | 1 | 0 |
| Erie | 1 | 1 | 0 |
| Highland | 1 | 1 | 0 |
| Holmes | 1 | 1 | 0 |
| Trumbull | 1 | 1 | 0 |
| Greene | 1 | 1 | 0 |
| Jackson | 1 | 1 | 0 |
| Morrow | 1 | 1 | 0 |
| Shelby | 1 | 1 | 0 |
| Adams | 1 | 1 | 0 |
| Franklin | 1 | 1 | 0 |
| Gallia | 1 | 1 | 0 |
| Ottawa | 1 | 1 | 0 |
| All districts (88) | 279 | 279 | 98 |
The Handbag Retail stores database includes 279+ verified Handbag Retail 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.
Oscar (AU) bought 2 days ago · Augustus (US) bought 2 days ago · Jackson (US) bought 3 days ago · Kris (US) bought 4 days ago · Elsie (US) bought 4 days ago
Handbag Retail currently operates 279+ stores 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 Handbag Retail stores database for Ohio, United States is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Handbag Retail location with address, phone, hours, website and GPS coordinates.
The CSV ships with one row per Handbag Retail location, columns covering Handbag Retail store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL plus website, opening-hours window, ratings and review counts. UTF-8 encoded — imports cleanly into HubSpot, Salesforce, Zoho or any CRM.
Each Handbag Retail row goes through phone validation, address cross-check against Google Maps and a check against the official Handbag Retail Ohio, United States locator. Records that fail any of those drop before you ever see them.
Yes. The Handbag Retail 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 Handbag Retail 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 Handbag Retail stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
This World Wide Data list covers 279+ verified records operating in Ohio, United States. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.
Last Update:
Aug 15, 2026 05:45 AM
Published:
May 11, 2026 04:04 AM
Rows (Extended):
279
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
