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This dataset covers 594 verified records spread across 88+ districts in Ohio. 594 records carry a verified phone number and 208 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Coshocton (117 listings), Meigs (59 listings), Ross (39 listings), Henry (29 listings), Athens (23 listings), Stark (20 listings), Williams (17 listings), and Jackson (15 listings).
Additional coverage spans Union (13), Harrison (12), Carroll (11), Huron (10), Fayette (9), Butler (8), Washington (8), Crawford (7), Champaign (7), Noble (7), Lucas (6), Holmes (6) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Coshocton | 117 | 117 | 41 |
| Meigs | 59 | 59 | 21 |
| Ross | 39 | 39 | 14 |
| Henry | 29 | 29 | 10 |
| Athens | 23 | 23 | 8 |
| Stark | 20 | 20 | 7 |
| Williams | 17 | 17 | 6 |
| Jackson | 15 | 15 | 5 |
| Union | 13 | 13 | 5 |
| Harrison | 12 | 12 | 4 |
| All districts (88) | 594 | 594 | 208 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Coshocton | 117 | 117 | 41 |
| Meigs | 59 | 59 | 21 |
| Ross | 39 | 39 | 14 |
| Henry | 29 | 29 | 10 |
| Athens | 23 | 23 | 8 |
| Stark | 20 | 20 | 7 |
| Williams | 17 | 17 | 6 |
| Jackson | 15 | 15 | 5 |
| Union | 13 | 13 | 5 |
| Harrison | 12 | 12 | 4 |
| Carroll | 11 | 11 | 4 |
| Huron | 10 | 10 | 4 |
| Fayette | 9 | 9 | 3 |
| Butler | 8 | 8 | 3 |
| Washington | 8 | 8 | 3 |
| Crawford | 7 | 7 | 2 |
| Champaign | 7 | 7 | 2 |
| Noble | 7 | 7 | 2 |
| Lucas | 6 | 6 | 2 |
| Holmes | 6 | 6 | 2 |
| Miami | 6 | 6 | 2 |
| Greene | 5 | 5 | 2 |
| Morrow | 5 | 5 | 2 |
| Clinton | 5 | 5 | 2 |
| Shelby | 5 | 5 | 2 |
| Cuyahoga | 5 | 5 | 2 |
| Auglaize | 4 | 4 | 1 |
| Perry | 4 | 4 | 1 |
| Knox | 4 | 4 | 1 |
| Gallia | 4 | 4 | 1 |
| Wood | 4 | 4 | 1 |
| Ottawa | 4 | 4 | 1 |
| Columbiana | 4 | 4 | 1 |
| Wyandot | 3 | 3 | 1 |
| Ashland | 3 | 3 | 1 |
| Delaware | 3 | 3 | 1 |
| Sandusky | 3 | 3 | 1 |
| Preble | 3 | 3 | 1 |
| Seneca | 3 | 3 | 1 |
| Logan | 3 | 3 | 1 |
| Brown | 3 | 3 | 1 |
| Van Wert | 3 | 3 | 1 |
| Clermont | 3 | 3 | 1 |
| Hancock | 3 | 3 | 1 |
| Adams | 3 | 3 | 1 |
| Montgomery | 3 | 3 | 1 |
| Marion | 2 | 2 | 1 |
| Hardin | 2 | 2 | 1 |
| Putnam | 2 | 2 | 1 |
| Fairfield | 2 | 2 | 1 |
| Medina | 2 | 2 | 1 |
| Summit | 2 | 2 | 1 |
| Mercer | 2 | 2 | 1 |
| Jefferson | 2 | 2 | 1 |
| Wayne | 2 | 2 | 1 |
| Lawrence | 2 | 2 | 1 |
| Erie | 2 | 2 | 1 |
| Guernsey | 2 | 2 | 1 |
| Scioto | 2 | 2 | 1 |
| Monroe | 2 | 2 | 1 |
| Lorain | 2 | 2 | 1 |
| Morgan | 2 | 2 | 1 |
| Ashtabula | 2 | 2 | 1 |
| Franklin | 2 | 2 | 1 |
| Trumbull | 2 | 2 | 1 |
| Tuscarawas | 2 | 2 | 1 |
| Mahoning | 2 | 2 | 1 |
| Highland | 2 | 2 | 1 |
| Hocking | 2 | 2 | 1 |
| Darke | 2 | 2 | 1 |
| Madison | 2 | 2 | 1 |
| Pickaway | 2 | 2 | 1 |
| Lake | 2 | 2 | 1 |
| Paulding | 2 | 2 | 1 |
| Richland | 2 | 2 | 1 |
| Warren | 2 | 2 | 1 |
| Vinton | 2 | 2 | 1 |
| Pike | 2 | 2 | 1 |
| Fulton | 1 | 1 | 0 |
| Geauga | 1 | 1 | 0 |
| Defiance | 1 | 1 | 0 |
| Clark | 1 | 1 | 0 |
| Licking | 1 | 1 | 0 |
| Belmont | 1 | 1 | 0 |
| Allen | 1 | 1 | 0 |
| Muskingum | 1 | 1 | 0 |
| Hamilton | 1 | 1 | 0 |
| Portage | 1 | 1 | 0 |
| All districts (88) | 594 | 594 | 208 |
The Cosmetics Retail stores database includes 594+ verified Cosmetics 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.
Karlie (US) bought 1 day ago · Cathryn (US) bought 2 days ago · Hari (US) bought 2 days ago · Ignacio (US) bought 4 days ago · Maudie (IN) bought 6 days ago
There are roughly 594+ Cosmetics Retail 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.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Cosmetics Retail stores CSV covering all of Ohio, United States within seconds. Every row is human-checked.
The CSV ships with one row per Cosmetics Retail location, columns covering Cosmetics 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.
Every Cosmetics Retail location is cross-referenced across the Cosmetics Retail 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 Cosmetics Retail footprint in Ohio, United States.
Yes. The Cosmetics 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 Cosmetics 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 Cosmetics Retail stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Data2Sales AI's World Wide Data database for Ohio, United States consolidates 594+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 16, 2026 05:45 AM
Published:
May 11, 2026 04:04 AM
Rows (Extended):
594
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
