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This dataset covers 152 verified records spread across 88+ districts in Ohio. 152 records carry a verified phone number and 53 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Mercer (30 listings), Crawford (15 listings), Portage (10 listings), Meigs (8 listings), Scioto (6 listings), Wood (5 listings), Licking (4 listings), and Marion (4 listings).
Additional coverage spans Belmont (3), Harrison (3), Hardin (3), Stark (3), Putnam (2), Knox (2), Summit (2), Henry (2), Medina (2), Champaign (2), Coshocton (2), Huron (2) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Mercer | 30 | 30 | 11 |
| Crawford | 15 | 15 | 5 |
| Portage | 10 | 10 | 4 |
| Meigs | 8 | 8 | 3 |
| Scioto | 6 | 6 | 2 |
| Wood | 5 | 5 | 2 |
| Licking | 4 | 4 | 1 |
| Marion | 4 | 4 | 1 |
| Belmont | 3 | 3 | 1 |
| Harrison | 3 | 3 | 1 |
| All districts (88) | 152 | 152 | 53 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Mercer | 30 | 30 | 11 |
| Crawford | 15 | 15 | 5 |
| Portage | 10 | 10 | 4 |
| Meigs | 8 | 8 | 3 |
| Scioto | 6 | 6 | 2 |
| Wood | 5 | 5 | 2 |
| Licking | 4 | 4 | 1 |
| Marion | 4 | 4 | 1 |
| Belmont | 3 | 3 | 1 |
| Harrison | 3 | 3 | 1 |
| Hardin | 3 | 3 | 1 |
| Stark | 3 | 3 | 1 |
| Putnam | 2 | 2 | 1 |
| Knox | 2 | 2 | 1 |
| Summit | 2 | 2 | 1 |
| Henry | 2 | 2 | 1 |
| Medina | 2 | 2 | 1 |
| Champaign | 2 | 2 | 1 |
| Coshocton | 2 | 2 | 1 |
| Huron | 2 | 2 | 1 |
| Richland | 2 | 2 | 1 |
| Williams | 1 | 1 | 0 |
| Union | 1 | 1 | 0 |
| Lucas | 1 | 1 | 0 |
| Hocking | 1 | 1 | 0 |
| Monroe | 1 | 1 | 0 |
| Madison | 1 | 1 | 0 |
| Noble | 1 | 1 | 0 |
| Lorain | 1 | 1 | 0 |
| Morgan | 1 | 1 | 0 |
| Vinton | 1 | 1 | 0 |
| Ross | 1 | 1 | 0 |
| Van Wert | 1 | 1 | 0 |
| Miami | 1 | 1 | 0 |
| Clermont | 1 | 1 | 0 |
| Geauga | 1 | 1 | 0 |
| Fulton | 1 | 1 | 0 |
| Sandusky | 1 | 1 | 0 |
| Montgomery | 1 | 1 | 0 |
| Perry | 1 | 1 | 0 |
| Warren | 1 | 1 | 0 |
| Cuyahoga | 1 | 1 | 0 |
| Auglaize | 1 | 1 | 0 |
| Brown | 1 | 1 | 0 |
| Logan | 1 | 1 | 0 |
| Tuscarawas | 1 | 1 | 0 |
| Delaware | 1 | 1 | 0 |
| Trumbull | 1 | 1 | 0 |
| Athens | 1 | 1 | 0 |
| Columbiana | 1 | 1 | 0 |
| Ashtabula | 1 | 1 | 0 |
| Mahoning | 1 | 1 | 0 |
| Hancock | 1 | 1 | 0 |
| Adams | 1 | 1 | 0 |
| Highland | 1 | 1 | 0 |
| Lake | 1 | 1 | 0 |
| Wayne | 1 | 1 | 0 |
| Pike | 1 | 1 | 0 |
| Franklin | 1 | 1 | 0 |
| Guernsey | 1 | 1 | 0 |
| Lawrence | 1 | 1 | 0 |
| Wyandot | 1 | 1 | 0 |
| Ashland | 1 | 1 | 0 |
| Fairfield | 1 | 1 | 0 |
| Jefferson | 1 | 1 | 0 |
| Clinton | 1 | 1 | 0 |
| Butler | 1 | 1 | 0 |
| Hamilton | 1 | 1 | 0 |
| Gallia | 1 | 1 | 0 |
| Muskingum | 1 | 1 | 0 |
| Ottawa | 1 | 1 | 0 |
| Darke | 1 | 1 | 0 |
| Defiance | 1 | 1 | 0 |
| Holmes | 1 | 1 | 0 |
| Greene | 1 | 1 | 0 |
| Morrow | 1 | 1 | 0 |
| Carroll | 1 | 1 | 0 |
| Fayette | 1 | 1 | 0 |
| Erie | 1 | 1 | 0 |
| Shelby | 1 | 1 | 0 |
| Washington | 1 | 1 | 0 |
| Jackson | 1 | 1 | 0 |
| Allen | 1 | 1 | 0 |
| Clark | 1 | 1 | 0 |
| Pickaway | 1 | 1 | 0 |
| Preble | 1 | 1 | 0 |
| Seneca | 1 | 1 | 0 |
| Paulding | 1 | 1 | 0 |
| All districts (88) | 152 | 152 | 53 |
The Mattress stores database includes 152+ verified Mattress 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.
Joseph (US) bought 13 hours ago · Elias (US) bought 1 day ago · Caitlin (US) bought 2 days ago · Komal (US) bought 3 days ago · Libbie (AU) bought 4 days ago
There are roughly 152+ Mattress 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.
This page IS the download point. The Mattress stores CSV for Ohio, United States ships immediately after payment and includes all verified store-level fields.
The CSV ships with one row per Mattress location, columns covering Mattress 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.
We verify each Mattress 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 Mattress 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 Mattress 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 Mattress 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 152+ 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 06, 2026 05:45 AM
Published:
May 11, 2026 04:04 AM
Rows (Extended):
152
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
