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This dataset covers 9,584 verified records spread across 70+ districts in Florida. 9,584 records carry a verified phone number and 3,354 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Levy (1,983 listings), Flagler (992 listings), Taylor (661 listings), Charlotte (496 listings), Hamilton (397 listings), Leon (331 listings), Gadsden (283 listings), and Columbia (248 listings).
Additional coverage spans Citrus (220), Calhoun (198), Escambia (180), Brevard (165), Pinellas (153), Bradford (142), Holmes (132), Lee (124), Duval (117), Hendry (110), St Lucie (104), St Johns (99) , plus 50 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Levy | 1,983 | 1,983 | 694 |
| Flagler | 992 | 992 | 347 |
| Taylor | 661 | 661 | 231 |
| Charlotte | 496 | 496 | 174 |
| Hamilton | 397 | 397 | 139 |
| Leon | 331 | 331 | 116 |
| Gadsden | 283 | 283 | 99 |
| Columbia | 248 | 248 | 87 |
| Citrus | 220 | 220 | 77 |
| Calhoun | 198 | 198 | 69 |
| All districts (70) | 9,584 | 9,584 | 3,354 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Levy | 1,983 | 1,983 | 694 |
| Flagler | 992 | 992 | 347 |
| Taylor | 661 | 661 | 231 |
| Charlotte | 496 | 496 | 174 |
| Hamilton | 397 | 397 | 139 |
| Leon | 331 | 331 | 116 |
| Gadsden | 283 | 283 | 99 |
| Columbia | 248 | 248 | 87 |
| Citrus | 220 | 220 | 77 |
| Calhoun | 198 | 198 | 69 |
| Escambia | 180 | 180 | 63 |
| Brevard | 165 | 165 | 58 |
| Pinellas | 153 | 153 | 54 |
| Bradford | 142 | 142 | 50 |
| Holmes | 132 | 132 | 46 |
| Lee | 124 | 124 | 43 |
| Duval | 117 | 117 | 41 |
| Hendry | 110 | 110 | 39 |
| St Lucie | 104 | 104 | 36 |
| St Johns | 99 | 99 | 35 |
| Miami Dade | 94 | 94 | 33 |
| Franklin | 90 | 90 | 32 |
| Gilchrist | 86 | 86 | 30 |
| Bay | 83 | 83 | 29 |
| Lafayette | 79 | 79 | 28 |
| Clay | 76 | 76 | 27 |
| Palm Beach | 73 | 73 | 26 |
| Polk | 71 | 71 | 25 |
| Madison | 68 | 68 | 24 |
| Indian River | 66 | 66 | 23 |
| Glades | 64 | 64 | 22 |
| St. Lucie | 62 | 62 | 22 |
| St. Johns | 60 | 60 | 21 |
| Okeechobee | 58 | 58 | 20 |
| Okaloosa | 57 | 57 | 20 |
| Santa Rosa | 55 | 55 | 19 |
| Orange | 54 | 54 | 19 |
| Manatee | 52 | 52 | 18 |
| Union | 51 | 51 | 18 |
| Alachua | 50 | 50 | 18 |
| Wakulla | 48 | 48 | 17 |
| Washington | 47 | 47 | 16 |
| Dixie | 46 | 46 | 16 |
| Sumter | 45 | 45 | 16 |
| Martin | 44 | 44 | 15 |
| Hillsborough | 43 | 43 | 15 |
| Miami-Dade | 42 | 42 | 15 |
| Jackson | 41 | 41 | 14 |
| Liberty | 40 | 40 | 14 |
| Hardee | 40 | 40 | 14 |
| Nassau | 39 | 39 | 14 |
| Seminole | 38 | 38 | 13 |
| Monroe | 37 | 37 | 13 |
| Volusia | 37 | 37 | 13 |
| Highlands | 36 | 36 | 13 |
| Broward | 35 | 35 | 12 |
| Sarasota | 35 | 35 | 12 |
| Hernando | 34 | 34 | 12 |
| Pasco | 34 | 34 | 12 |
| DeSoto | 33 | 33 | 12 |
| Baker | 33 | 33 | 12 |
| Jefferson | 32 | 32 | 11 |
| Osceola | 31 | 31 | 11 |
| Lake | 31 | 31 | 11 |
| Suwannee | 31 | 31 | 11 |
| Collier | 30 | 30 | 11 |
| Marion | 30 | 30 | 11 |
| Putnam | 30 | 30 | 11 |
| Walton | 29 | 29 | 10 |
| Gulf | 29 | 29 | 10 |
| All districts (70) | 9,584 | 9,584 | 3,354 |
The Download Grocery stores database includes 9,584+ verified Download Grocery stores 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.
Download Grocery currently operates 9,584+ stores in Florida, United States (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Download Grocery stores CSV covering all of Florida, United States within seconds. Every row is human-checked.
The CSV ships with one row per Download Grocery location, columns covering Download Grocery 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.
Triple-source verification: the Download Grocery 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 Download Grocery 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 Download Grocery 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 Download Grocery 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 Florida, United States? This database aggregates 9,584+ 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:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 03:30 AM
Rows (Regular):
4,313
Rows (Extended):
9,584
Category:
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
