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This dataset covers 9,447 verified records spread across 62+ districts in New York. 9,447 records carry a verified phone number and 3,306 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are New York (2,005 listings), Clinton (1,002 listings), Niagara (668 listings), Washington (501 listings), Richmond (401 listings), Cortland (334 listings), Onondaga (286 listings), and Bronx (251 listings).
Additional coverage spans Dutchess (223), Herkimer (200), Chemung (182), Cayuga (167), Westchester (154), Wyoming (143), Yates (134), Steuben (125), Delaware (118), Greene (111), Schuyler (106), Suffolk (100) , plus 42 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| New York | 2,005 | 2,005 | 702 |
| Clinton | 1,002 | 1,002 | 351 |
| Niagara | 668 | 668 | 234 |
| Washington | 501 | 501 | 175 |
| Richmond | 401 | 401 | 140 |
| Cortland | 334 | 334 | 117 |
| Onondaga | 286 | 286 | 100 |
| Bronx | 251 | 251 | 88 |
| Dutchess | 223 | 223 | 78 |
| Herkimer | 200 | 200 | 70 |
| All districts (62) | 9,447 | 9,447 | 3,306 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| New York | 2,005 | 2,005 | 702 |
| Clinton | 1,002 | 1,002 | 351 |
| Niagara | 668 | 668 | 234 |
| Washington | 501 | 501 | 175 |
| Richmond | 401 | 401 | 140 |
| Cortland | 334 | 334 | 117 |
| Onondaga | 286 | 286 | 100 |
| Bronx | 251 | 251 | 88 |
| Dutchess | 223 | 223 | 78 |
| Herkimer | 200 | 200 | 70 |
| Chemung | 182 | 182 | 64 |
| Cayuga | 167 | 167 | 58 |
| Westchester | 154 | 154 | 54 |
| Wyoming | 143 | 143 | 50 |
| Yates | 134 | 134 | 47 |
| Steuben | 125 | 125 | 44 |
| Delaware | 118 | 118 | 41 |
| Greene | 111 | 111 | 39 |
| Schuyler | 106 | 106 | 37 |
| Suffolk | 100 | 100 | 35 |
| Chautauqua | 95 | 95 | 33 |
| Livingston | 91 | 91 | 32 |
| Chenango | 87 | 87 | 30 |
| Schenectady | 84 | 84 | 29 |
| Broome | 80 | 80 | 28 |
| Oswego | 77 | 77 | 27 |
| Schoharie | 74 | 74 | 26 |
| Otsego | 72 | 72 | 25 |
| Ontario | 69 | 69 | 24 |
| Seneca | 67 | 67 | 23 |
| St. Lawrence | 65 | 65 | 23 |
| Tompkins | 63 | 63 | 22 |
| Rockland | 61 | 61 | 21 |
| Putnam | 59 | 59 | 21 |
| Sullivan | 57 | 57 | 20 |
| Orleans | 56 | 56 | 20 |
| Madison | 54 | 54 | 19 |
| Wayne | 53 | 53 | 19 |
| Jefferson | 51 | 51 | 18 |
| Cattaraugus | 50 | 50 | 18 |
| Columbia | 49 | 49 | 17 |
| Hamilton | 48 | 48 | 17 |
| Saratoga | 47 | 47 | 16 |
| Lewis | 46 | 46 | 16 |
| Montgomery | 45 | 45 | 16 |
| Monroe | 44 | 44 | 15 |
| Erie | 43 | 43 | 15 |
| Nassau | 42 | 42 | 15 |
| Allegany | 41 | 41 | 14 |
| Franklin | 40 | 40 | 14 |
| Tioga | 39 | 39 | 14 |
| Warren | 39 | 39 | 14 |
| Albany | 38 | 38 | 13 |
| Kings | 37 | 37 | 13 |
| Queens | 36 | 36 | 13 |
| Fulton | 36 | 36 | 13 |
| Genesee | 35 | 35 | 12 |
| Ulster | 35 | 35 | 12 |
| Rensselaer | 34 | 34 | 12 |
| Essex | 33 | 33 | 12 |
| Oneida | 33 | 33 | 12 |
| Orange | 31 | 31 | 11 |
| All districts (62) | 9,447 | 9,447 | 3,306 |
The Casual Dining restaurants database includes 9,447+ verified Casual Dining restaurants 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.
Our latest 2026 count shows 9,447+ live Casual Dining restaurants across New York, United States. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
The complete Casual Dining restaurants database for New York, United States is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Casual Dining location with address, phone, hours, website and GPS coordinates.
Each Casual Dining record carries the full operational profile: Casual Dining store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
Every Casual Dining location is cross-referenced across the Casual Dining 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 Casual Dining footprint in New York, United States.
Yes. The Casual Dining restaurants 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 Casual Dining 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 Casual Dining restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for New York, United States is a 9,447+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 03:59 AM
Rows (Regular):
4,251
Rows (Extended):
9,447
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
