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This dataset covers 376 verified records spread across 88+ districts in Ohio. 376 records carry a verified phone number and 132 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Champaign (74 listings), Athens (37 listings), Guernsey (25 listings), Stark (19 listings), Lawrence (15 listings), Henry (12 listings), Meigs (11 listings), and Jackson (9 listings).
Additional coverage spans Lucas (8), Highland (7), Noble (7), Mahoning (6), Fayette (6), Carroll (5), Trumbull (5), Washington (5), Franklin (4), Huron (4), Ross (4), Union (4) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Champaign | 74 | 74 | 26 |
| Athens | 37 | 37 | 13 |
| Guernsey | 25 | 25 | 9 |
| Stark | 19 | 19 | 7 |
| Lawrence | 15 | 15 | 5 |
| Henry | 12 | 12 | 4 |
| Meigs | 11 | 11 | 4 |
| Jackson | 9 | 9 | 3 |
| Lucas | 8 | 8 | 3 |
| Highland | 7 | 7 | 2 |
| All districts (88) | 376 | 376 | 132 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Champaign | 74 | 74 | 26 |
| Athens | 37 | 37 | 13 |
| Guernsey | 25 | 25 | 9 |
| Stark | 19 | 19 | 7 |
| Lawrence | 15 | 15 | 5 |
| Henry | 12 | 12 | 4 |
| Meigs | 11 | 11 | 4 |
| Jackson | 9 | 9 | 3 |
| Lucas | 8 | 8 | 3 |
| Highland | 7 | 7 | 2 |
| Noble | 7 | 7 | 2 |
| Mahoning | 6 | 6 | 2 |
| Fayette | 6 | 6 | 2 |
| Carroll | 5 | 5 | 2 |
| Trumbull | 5 | 5 | 2 |
| Washington | 5 | 5 | 2 |
| Franklin | 4 | 4 | 1 |
| Huron | 4 | 4 | 1 |
| Ross | 4 | 4 | 1 |
| Union | 4 | 4 | 1 |
| Coshocton | 4 | 4 | 1 |
| Butler | 3 | 3 | 1 |
| Gallia | 3 | 3 | 1 |
| Perry | 3 | 3 | 1 |
| Ottawa | 3 | 3 | 1 |
| Clinton | 3 | 3 | 1 |
| Paulding | 3 | 3 | 1 |
| Miami | 3 | 3 | 1 |
| Richland | 3 | 3 | 1 |
| Clark | 3 | 3 | 1 |
| Holmes | 2 | 2 | 1 |
| Columbiana | 2 | 2 | 1 |
| Greene | 2 | 2 | 1 |
| Pickaway | 2 | 2 | 1 |
| Morrow | 2 | 2 | 1 |
| Wyandot | 2 | 2 | 1 |
| Ashland | 2 | 2 | 1 |
| Shelby | 2 | 2 | 1 |
| Knox | 2 | 2 | 1 |
| Wood | 2 | 2 | 1 |
| Hamilton | 2 | 2 | 1 |
| Preble | 2 | 2 | 1 |
| Seneca | 2 | 2 | 1 |
| Brown | 2 | 2 | 1 |
| Logan | 2 | 2 | 1 |
| Defiance | 2 | 2 | 1 |
| Hancock | 2 | 2 | 1 |
| Mercer | 2 | 2 | 1 |
| Williams | 2 | 2 | 1 |
| Montgomery | 2 | 2 | 1 |
| Scioto | 1 | 1 | 0 |
| Wayne | 1 | 1 | 0 |
| Ashtabula | 1 | 1 | 0 |
| Marion | 1 | 1 | 0 |
| Hardin | 1 | 1 | 0 |
| Putnam | 1 | 1 | 0 |
| Adams | 1 | 1 | 0 |
| Summit | 1 | 1 | 0 |
| Medina | 1 | 1 | 0 |
| Erie | 1 | 1 | 0 |
| Jefferson | 1 | 1 | 0 |
| Crawford | 1 | 1 | 0 |
| Monroe | 1 | 1 | 0 |
| Fairfield | 1 | 1 | 0 |
| Lorain | 1 | 1 | 0 |
| Harrison | 1 | 1 | 0 |
| Tuscarawas | 1 | 1 | 0 |
| Morgan | 1 | 1 | 0 |
| Delaware | 1 | 1 | 0 |
| Vinton | 1 | 1 | 0 |
| Hocking | 1 | 1 | 0 |
| Madison | 1 | 1 | 0 |
| Cuyahoga | 1 | 1 | 0 |
| Fulton | 1 | 1 | 0 |
| Geauga | 1 | 1 | 0 |
| Auglaize | 1 | 1 | 0 |
| Muskingum | 1 | 1 | 0 |
| Darke | 1 | 1 | 0 |
| Warren | 1 | 1 | 0 |
| Licking | 1 | 1 | 0 |
| Pike | 1 | 1 | 0 |
| Belmont | 1 | 1 | 0 |
| Clermont | 1 | 1 | 0 |
| Van Wert | 1 | 1 | 0 |
| Portage | 1 | 1 | 0 |
| Lake | 1 | 1 | 0 |
| Allen | 1 | 1 | 0 |
| Sandusky | 1 | 1 | 0 |
| All districts (88) | 376 | 376 | 132 |
The Sunglasses stores database includes 376+ verified Sunglasses 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.
Lloyd (GB) bought 2 days ago · Linwood (US) bought 2 days ago · Kayleigh (US) bought 3 days ago · Bradley (US) bought 3 days ago · Ibrahim (US) bought 5 days ago
Counting only operational sites, the Sunglasses footprint in Ohio, United States sits at about 376+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
The complete Sunglasses stores database for Ohio, United States is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Sunglasses location with address, phone, hours, website and GPS coordinates.
Each Sunglasses record carries the full operational profile: Sunglasses 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.
We verify each Sunglasses entry against the brand's official locator, Google Places and our directory partners on a 30-day cycle. Anything closed or with a dead phone gets dropped before export, so the CSV is the live Ohio, United States footprint, not last year's.
Yes. The Sunglasses 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 Sunglasses 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 Sunglasses 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 376+ 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 10, 2026 05:45 AM
Published:
May 11, 2026 04:04 AM
Rows (Extended):
376
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
