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This dataset covers 339 verified records spread across 62+ districts in New York. 339 records carry a verified phone number and 119 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Ulster (72 listings), Fulton (36 listings), Queens (24 listings), Albany (18 listings), Warren (14 listings), Lewis (12 listings), Orange (10 listings), and Oneida (9 listings).
Additional coverage spans Schenectady (8), Madison (7), Wayne (7), Franklin (6), Orleans (6), Washington (5), Allegany (5), Westchester (4), St. Lawrence (4), Essex (4), Saratoga (4), Putnam (4) , plus 42 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Ulster | 72 | 72 | 25 |
| Fulton | 36 | 36 | 13 |
| Queens | 24 | 24 | 8 |
| Albany | 18 | 18 | 6 |
| Warren | 14 | 14 | 5 |
| Lewis | 12 | 12 | 4 |
| Orange | 10 | 10 | 4 |
| Oneida | 9 | 9 | 3 |
| Schenectady | 8 | 8 | 3 |
| Madison | 7 | 7 | 2 |
| All districts (62) | 339 | 339 | 119 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Ulster | 72 | 72 | 25 |
| Fulton | 36 | 36 | 13 |
| Queens | 24 | 24 | 8 |
| Albany | 18 | 18 | 6 |
| Warren | 14 | 14 | 5 |
| Lewis | 12 | 12 | 4 |
| Orange | 10 | 10 | 4 |
| Oneida | 9 | 9 | 3 |
| Schenectady | 8 | 8 | 3 |
| Madison | 7 | 7 | 2 |
| Wayne | 7 | 7 | 2 |
| Franklin | 6 | 6 | 2 |
| Orleans | 6 | 6 | 2 |
| Washington | 5 | 5 | 2 |
| Allegany | 5 | 5 | 2 |
| Westchester | 4 | 4 | 1 |
| St. Lawrence | 4 | 4 | 1 |
| Essex | 4 | 4 | 1 |
| Saratoga | 4 | 4 | 1 |
| Putnam | 4 | 4 | 1 |
| New York | 4 | 4 | 1 |
| Columbia | 3 | 3 | 1 |
| Genesee | 3 | 3 | 1 |
| Hamilton | 3 | 3 | 1 |
| Chautauqua | 3 | 3 | 1 |
| Nassau | 3 | 3 | 1 |
| Kings | 3 | 3 | 1 |
| Jefferson | 3 | 3 | 1 |
| Monroe | 3 | 3 | 1 |
| Tioga | 2 | 2 | 1 |
| Livingston | 2 | 2 | 1 |
| Rockland | 2 | 2 | 1 |
| Sullivan | 2 | 2 | 1 |
| Tompkins | 2 | 2 | 1 |
| Oswego | 2 | 2 | 1 |
| Broome | 2 | 2 | 1 |
| Montgomery | 2 | 2 | 1 |
| Chemung | 2 | 2 | 1 |
| Wyoming | 2 | 2 | 1 |
| Yates | 2 | 2 | 1 |
| Steuben | 2 | 2 | 1 |
| Greene | 2 | 2 | 1 |
| Bronx | 2 | 2 | 1 |
| Schoharie | 2 | 2 | 1 |
| Chenango | 2 | 2 | 1 |
| Seneca | 2 | 2 | 1 |
| Niagara | 2 | 2 | 1 |
| Otsego | 2 | 2 | 1 |
| Schuyler | 1 | 1 | 0 |
| Clinton | 1 | 1 | 0 |
| Delaware | 1 | 1 | 0 |
| Ontario | 1 | 1 | 0 |
| Herkimer | 1 | 1 | 0 |
| Dutchess | 1 | 1 | 0 |
| Onondaga | 1 | 1 | 0 |
| Cortland | 1 | 1 | 0 |
| Cattaraugus | 1 | 1 | 0 |
| Richmond | 1 | 1 | 0 |
| Suffolk | 1 | 1 | 0 |
| Erie | 1 | 1 | 0 |
| Rensselaer | 1 | 1 | 0 |
| Cayuga | 1 | 1 | 0 |
| All districts (62) | 339 | 339 | 119 |
The Bicycle stores database includes 339+ verified Bicycle 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.
Frederique (US) bought 1 day ago · Molly (GB) bought 1 day ago · Aslam (US) bought 3 days ago · Lucas (US) bought 3 days ago · Immanuel (GB) bought 5 days ago
Counting only operational sites, the Bicycle footprint in New York, United States sits at about 339+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
The complete Bicycle stores database for New York, United States is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Bicycle location with address, phone, hours, website and GPS coordinates.
Every record in the Bicycle stores dataset includes: Bicycle 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.
Triple-source verification: the Bicycle store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
Yes. The Bicycle 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 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 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 New York, United States? This database aggregates 339+ 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.
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 03:59 AM
Rows (Extended):
339
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
