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This dataset covers 347 verified records spread across 62+ districts in New York. 347 records carry a verified phone number and 121 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Herkimer (74 listings), Genesee (37 listings), Chautauqua (25 listings), Dutchess (18 listings), Orange (15 listings), Schoharie (12 listings), Oneida (11 listings), and Livingston (9 listings).
Additional coverage spans Delaware (8), Schenectady (7), New York (7), Albany (6), Warren (6), Cortland (5), Onondaga (5), Erie (5), Ulster (4), Queens (4), Richmond (4), Fulton (4) , plus 42 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Herkimer | 74 | 74 | 26 |
| Genesee | 37 | 37 | 13 |
| Chautauqua | 25 | 25 | 9 |
| Dutchess | 18 | 18 | 6 |
| Orange | 15 | 15 | 5 |
| Schoharie | 12 | 12 | 4 |
| Oneida | 11 | 11 | 4 |
| Livingston | 9 | 9 | 3 |
| Delaware | 8 | 8 | 3 |
| Schenectady | 7 | 7 | 2 |
| All districts (62) | 347 | 347 | 121 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Herkimer | 74 | 74 | 26 |
| Genesee | 37 | 37 | 13 |
| Chautauqua | 25 | 25 | 9 |
| Dutchess | 18 | 18 | 6 |
| Orange | 15 | 15 | 5 |
| Schoharie | 12 | 12 | 4 |
| Oneida | 11 | 11 | 4 |
| Livingston | 9 | 9 | 3 |
| Delaware | 8 | 8 | 3 |
| Schenectady | 7 | 7 | 2 |
| New York | 7 | 7 | 2 |
| Albany | 6 | 6 | 2 |
| Warren | 6 | 6 | 2 |
| Cortland | 5 | 5 | 2 |
| Onondaga | 5 | 5 | 2 |
| Erie | 5 | 5 | 2 |
| Ulster | 4 | 4 | 1 |
| Queens | 4 | 4 | 1 |
| Richmond | 4 | 4 | 1 |
| Fulton | 4 | 4 | 1 |
| Yates | 4 | 4 | 1 |
| Monroe | 3 | 3 | 1 |
| Tompkins | 3 | 3 | 1 |
| Madison | 3 | 3 | 1 |
| Orleans | 3 | 3 | 1 |
| Nassau | 3 | 3 | 1 |
| Washington | 3 | 3 | 1 |
| Westchester | 3 | 3 | 1 |
| Putnam | 3 | 3 | 1 |
| Schuyler | 2 | 2 | 1 |
| Bronx | 2 | 2 | 1 |
| Chenango | 2 | 2 | 1 |
| Seneca | 2 | 2 | 1 |
| Saratoga | 2 | 2 | 1 |
| Essex | 2 | 2 | 1 |
| Otsego | 2 | 2 | 1 |
| Rensselaer | 2 | 2 | 1 |
| Allegany | 2 | 2 | 1 |
| Suffolk | 2 | 2 | 1 |
| St. Lawrence | 2 | 2 | 1 |
| Rockland | 2 | 2 | 1 |
| Greene | 2 | 2 | 1 |
| Tioga | 2 | 2 | 1 |
| Sullivan | 2 | 2 | 1 |
| Oswego | 2 | 2 | 1 |
| Columbia | 2 | 2 | 1 |
| Broome | 2 | 2 | 1 |
| Hamilton | 2 | 2 | 1 |
| Ontario | 2 | 2 | 1 |
| Kings | 1 | 1 | 0 |
| Cayuga | 1 | 1 | 0 |
| Lewis | 1 | 1 | 0 |
| Niagara | 1 | 1 | 0 |
| Cattaraugus | 1 | 1 | 0 |
| Clinton | 1 | 1 | 0 |
| Jefferson | 1 | 1 | 0 |
| Wayne | 1 | 1 | 0 |
| Franklin | 1 | 1 | 0 |
| Montgomery | 1 | 1 | 0 |
| Wyoming | 1 | 1 | 0 |
| Steuben | 1 | 1 | 0 |
| Chemung | 1 | 1 | 0 |
| All districts (62) | 347 | 347 | 121 |
The Bicycle Retail stores database includes 347+ verified Bicycle Retail stores in New York, 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.
Arvel (GB) bought 1 day ago · Alexandra (GB) bought 2 days ago · Mikayla (US) bought 3 days ago · Josephine (US) bought 5 days ago · Mylene (US) bought 1 week ago
Bicycle Retail currently operates 347+ stores in New York, United States (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
This page IS the download point. The Bicycle Retail stores CSV for New York, United States ships immediately after payment and includes all verified store-level fields.
Every record in the Bicycle Retail stores dataset includes: Bicycle Retail store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
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 New York, 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.
This World Wide Data list covers 347+ verified records operating in New York, 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 17, 2026 05:45 AM
Published:
May 11, 2026 03:59 AM
Rows (Extended):
347
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
