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This dataset covers 9,558 verified records spread across 70+ districts in Florida. 9,558 records carry a verified phone number and 3,345 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Wakulla (1,978 listings), Levy (989 listings), Okeechobee (659 listings), Santa Rosa (494 listings), Glades (396 listings), Manatee (330 listings), Leon (283 listings), and Alachua (247 listings).
Additional coverage spans Palm Beach (220), Bay (198), Jackson (180), Hillsborough (165), Miami Dade (152), Holmes (141), Broward (132), Volusia (124), Duval (116), Hendry (110), Seminole (104), Clay (99) , plus 50 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Wakulla | 1,978 | 1,978 | 692 |
| Levy | 989 | 989 | 346 |
| Okeechobee | 659 | 659 | 231 |
| Santa Rosa | 494 | 494 | 173 |
| Glades | 396 | 396 | 139 |
| Manatee | 330 | 330 | 116 |
| Leon | 283 | 283 | 99 |
| Alachua | 247 | 247 | 86 |
| Palm Beach | 220 | 220 | 77 |
| Bay | 198 | 198 | 69 |
| All districts (70) | 9,558 | 9,558 | 3,345 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Wakulla | 1,978 | 1,978 | 692 |
| Levy | 989 | 989 | 346 |
| Okeechobee | 659 | 659 | 231 |
| Santa Rosa | 494 | 494 | 173 |
| Glades | 396 | 396 | 139 |
| Manatee | 330 | 330 | 116 |
| Leon | 283 | 283 | 99 |
| Alachua | 247 | 247 | 86 |
| Palm Beach | 220 | 220 | 77 |
| Bay | 198 | 198 | 69 |
| Jackson | 180 | 180 | 63 |
| Hillsborough | 165 | 165 | 58 |
| Miami Dade | 152 | 152 | 53 |
| Holmes | 141 | 141 | 49 |
| Broward | 132 | 132 | 46 |
| Volusia | 124 | 124 | 43 |
| Duval | 116 | 116 | 41 |
| Hendry | 110 | 110 | 39 |
| Seminole | 104 | 104 | 36 |
| Clay | 99 | 99 | 35 |
| Liberty | 94 | 94 | 33 |
| Polk | 90 | 90 | 32 |
| Lee | 86 | 86 | 30 |
| Sarasota | 82 | 82 | 29 |
| Highlands | 79 | 79 | 28 |
| Hernando | 76 | 76 | 27 |
| Taylor | 73 | 73 | 26 |
| Jefferson | 71 | 71 | 25 |
| Collier | 68 | 68 | 24 |
| Citrus | 66 | 66 | 23 |
| Suwannee | 64 | 64 | 22 |
| Osceola | 62 | 62 | 22 |
| Marion | 60 | 60 | 21 |
| Walton | 58 | 58 | 20 |
| Calhoun | 57 | 57 | 20 |
| Putnam | 55 | 55 | 19 |
| Gadsden | 53 | 53 | 19 |
| Baker | 52 | 52 | 18 |
| DeSoto | 51 | 51 | 18 |
| Flagler | 49 | 49 | 17 |
| Hamilton | 48 | 48 | 17 |
| Charlotte | 47 | 47 | 16 |
| Columbia | 46 | 46 | 16 |
| Escambia | 45 | 45 | 16 |
| Monroe | 44 | 44 | 15 |
| Pinellas | 43 | 43 | 15 |
| Pasco | 42 | 42 | 15 |
| Bradford | 41 | 41 | 14 |
| Brevard | 40 | 40 | 14 |
| Hardee | 40 | 40 | 14 |
| Nassau | 39 | 39 | 14 |
| St Lucie | 38 | 38 | 13 |
| Martin | 37 | 37 | 13 |
| Gilchrist | 37 | 37 | 13 |
| St Johns | 36 | 36 | 13 |
| Franklin | 35 | 35 | 12 |
| Miami-Dade | 35 | 35 | 12 |
| Lafayette | 34 | 34 | 12 |
| Sumter | 34 | 34 | 12 |
| Dixie | 33 | 33 | 12 |
| Washington | 32 | 32 | 11 |
| Lake | 32 | 32 | 11 |
| Indian River | 31 | 31 | 11 |
| St. Johns | 31 | 31 | 11 |
| Orange | 30 | 30 | 11 |
| St. Lucie | 30 | 30 | 11 |
| Madison | 30 | 30 | 11 |
| Gulf | 29 | 29 | 10 |
| Union | 29 | 29 | 10 |
| Okaloosa | 27 | 27 | 9 |
| All districts (70) | 9,558 | 9,558 | 3,345 |
The Casual Dining restaurants database includes 9,558+ verified Casual Dining restaurants in Florida, 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.
Kariane (US) bought 1 day ago · Fred (IN) bought 1 day ago · Nathan (US) bought 2 days ago · Shaniya (US) bought 4 days ago · Candice (GB) bought 5 days ago
There are roughly 9,558+ Casual Dining restaurants in Florida, 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.
Data2Sales AI hosts the most up-to-date Casual Dining restaurants list for Florida, United States; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
The CSV ships with one row per Casual Dining location, columns covering Casual Dining 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.
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 Florida, 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 Florida, United States is a 9,558+ 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:
Aug 13, 2026 05:45 AM
Published:
May 11, 2026 03:29 AM
Rows (Regular):
4,779
Rows (Extended):
9,558
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
