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This dataset covers 241 verified records spread across 88+ districts in Ohio. 241 records carry a verified phone number and 84 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Sandusky (48 listings), Jackson (24 listings), Adams (16 listings), Champaign (12 listings), Lake (10 listings), Wayne (8 listings), Van Wert (7 listings), and Pike (6 listings).
Additional coverage spans Clermont (5), Columbiana (5), Warren (4), Cuyahoga (4), Auglaize (4), Fayette (3), Coshocton (3), Fulton (3), Geauga (3), Carroll (3), Vinton (3), Delaware (2) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Sandusky | 48 | 48 | 17 |
| Jackson | 24 | 24 | 8 |
| Adams | 16 | 16 | 6 |
| Champaign | 12 | 12 | 4 |
| Lake | 10 | 10 | 4 |
| Wayne | 8 | 8 | 3 |
| Van Wert | 7 | 7 | 2 |
| Pike | 6 | 6 | 2 |
| Clermont | 5 | 5 | 2 |
| Columbiana | 5 | 5 | 2 |
| All districts (88) | 241 | 241 | 84 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Sandusky | 48 | 48 | 17 |
| Jackson | 24 | 24 | 8 |
| Adams | 16 | 16 | 6 |
| Champaign | 12 | 12 | 4 |
| Lake | 10 | 10 | 4 |
| Wayne | 8 | 8 | 3 |
| Van Wert | 7 | 7 | 2 |
| Pike | 6 | 6 | 2 |
| Clermont | 5 | 5 | 2 |
| Columbiana | 5 | 5 | 2 |
| Warren | 4 | 4 | 1 |
| Cuyahoga | 4 | 4 | 1 |
| Auglaize | 4 | 4 | 1 |
| Fayette | 3 | 3 | 1 |
| Coshocton | 3 | 3 | 1 |
| Fulton | 3 | 3 | 1 |
| Geauga | 3 | 3 | 1 |
| Carroll | 3 | 3 | 1 |
| Vinton | 3 | 3 | 1 |
| Delaware | 2 | 2 | 1 |
| Lorain | 2 | 2 | 1 |
| Ashland | 2 | 2 | 1 |
| Wyandot | 2 | 2 | 1 |
| Darke | 2 | 2 | 1 |
| Morgan | 2 | 2 | 1 |
| Harrison | 2 | 2 | 1 |
| Washington | 2 | 2 | 1 |
| Monroe | 2 | 2 | 1 |
| Clinton | 2 | 2 | 1 |
| Crawford | 2 | 2 | 1 |
| Erie | 2 | 2 | 1 |
| Putnam | 1 | 1 | 0 |
| Hancock | 1 | 1 | 0 |
| Allen | 1 | 1 | 0 |
| Hardin | 1 | 1 | 0 |
| Summit | 1 | 1 | 0 |
| Clark | 1 | 1 | 0 |
| Medina | 1 | 1 | 0 |
| Marion | 1 | 1 | 0 |
| Scioto | 1 | 1 | 0 |
| Williams | 1 | 1 | 0 |
| Mercer | 1 | 1 | 0 |
| Defiance | 1 | 1 | 0 |
| Preble | 1 | 1 | 0 |
| Meigs | 1 | 1 | 0 |
| Seneca | 1 | 1 | 0 |
| Wood | 1 | 1 | 0 |
| Stark | 1 | 1 | 0 |
| Hamilton | 1 | 1 | 0 |
| Henry | 1 | 1 | 0 |
| Knox | 1 | 1 | 0 |
| Ashtabula | 1 | 1 | 0 |
| Greene | 1 | 1 | 0 |
| Union | 1 | 1 | 0 |
| Pickaway | 1 | 1 | 0 |
| Jefferson | 1 | 1 | 0 |
| Shelby | 1 | 1 | 0 |
| Morrow | 1 | 1 | 0 |
| Paulding | 1 | 1 | 0 |
| Richland | 1 | 1 | 0 |
| Holmes | 1 | 1 | 0 |
| Huron | 1 | 1 | 0 |
| Ottawa | 1 | 1 | 0 |
| Lucas | 1 | 1 | 0 |
| Fairfield | 1 | 1 | 0 |
| Gallia | 1 | 1 | 0 |
| Noble | 1 | 1 | 0 |
| Ross | 1 | 1 | 0 |
| Tuscarawas | 1 | 1 | 0 |
| Butler | 1 | 1 | 0 |
| Miami | 1 | 1 | 0 |
| Franklin | 1 | 1 | 0 |
| Perry | 1 | 1 | 0 |
| Trumbull | 1 | 1 | 0 |
| Mahoning | 1 | 1 | 0 |
| Highland | 1 | 1 | 0 |
| Hocking | 1 | 1 | 0 |
| Muskingum | 1 | 1 | 0 |
| Madison | 1 | 1 | 0 |
| Logan | 1 | 1 | 0 |
| Portage | 1 | 1 | 0 |
| Brown | 1 | 1 | 0 |
| Lawrence | 1 | 1 | 0 |
| Guernsey | 1 | 1 | 0 |
| Belmont | 1 | 1 | 0 |
| Licking | 1 | 1 | 0 |
| Montgomery | 1 | 1 | 0 |
| Athens | 1 | 1 | 0 |
| All districts (88) | 241 | 241 | 84 |
The Bicycle Retail stores database includes 241+ verified Bicycle 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.
Cathy (US) bought 1 day ago · Sid (US) bought 2 days ago · Patrick (US) bought 2 days ago · Louis (AU) bought 3 days ago · Cameron (US) bought 5 days ago
Counting only operational sites, the Bicycle Retail footprint in Ohio, United States sits at about 241+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
This page IS the download point. The Bicycle Retail stores CSV for Ohio, United States ships immediately after payment and includes all verified store-level fields.
Per-row columns include Bicycle Retail store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and the surrounding context fields (website, opening hours, Google rating, review count). Delivered as a CRM-ready UTF-8 CSV.
We verify each Bicycle Retail 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 Bicycle 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 Bicycle 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 Bicycle Retail stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to reach world wide data decision-makers in Ohio, United States? This database aggregates 241+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
Last Update:
Aug 14, 2026 05:45 AM
Published:
May 11, 2026 04:04 AM
Rows (Extended):
241
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
