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This dataset covers 8,136 verified records spread across 70+ districts in Florida. 8,136 records carry a verified phone number and 2,848 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Orange (1,683 listings), Okaloosa (842 listings), Gadsden (561 listings), Washington (421 listings), Calhoun (337 listings), St. Johns (281 listings), Polk (240 listings), and Clay (210 listings).
Additional coverage spans St. Lucie (187), Flagler (168), Gilchrist (153), Indian River (140), Sumter (129), Miami-Dade (120), Martin (112), Brevard (105), Franklin (99), St Johns (94), Lafayette (89), St Lucie (84) , plus 50 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Orange | 1,683 | 1,683 | 589 |
| Okaloosa | 842 | 842 | 295 |
| Gadsden | 561 | 561 | 196 |
| Washington | 421 | 421 | 147 |
| Calhoun | 337 | 337 | 118 |
| St. Johns | 281 | 281 | 98 |
| Polk | 240 | 240 | 84 |
| Clay | 210 | 210 | 74 |
| St. Lucie | 187 | 187 | 65 |
| Flagler | 168 | 168 | 59 |
| All districts (70) | 8,136 | 8,136 | 2,848 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Orange | 1,683 | 1,683 | 589 |
| Okaloosa | 842 | 842 | 295 |
| Gadsden | 561 | 561 | 196 |
| Washington | 421 | 421 | 147 |
| Calhoun | 337 | 337 | 118 |
| St. Johns | 281 | 281 | 98 |
| Polk | 240 | 240 | 84 |
| Clay | 210 | 210 | 74 |
| St. Lucie | 187 | 187 | 65 |
| Flagler | 168 | 168 | 59 |
| Gilchrist | 153 | 153 | 54 |
| Indian River | 140 | 140 | 49 |
| Sumter | 129 | 129 | 45 |
| Miami-Dade | 120 | 120 | 42 |
| Martin | 112 | 112 | 39 |
| Brevard | 105 | 105 | 37 |
| Franklin | 99 | 99 | 35 |
| St Johns | 94 | 94 | 33 |
| Lafayette | 89 | 89 | 31 |
| St Lucie | 84 | 84 | 29 |
| Bay | 80 | 80 | 28 |
| Lee | 77 | 77 | 27 |
| Hardee | 73 | 73 | 26 |
| Levy | 70 | 70 | 25 |
| Nassau | 67 | 67 | 23 |
| Bradford | 65 | 65 | 23 |
| Monroe | 62 | 62 | 22 |
| Duval | 60 | 60 | 21 |
| Pinellas | 58 | 58 | 20 |
| Leon | 56 | 56 | 20 |
| Escambia | 54 | 54 | 19 |
| Columbia | 53 | 53 | 19 |
| DeSoto | 51 | 51 | 18 |
| Hamilton | 50 | 50 | 18 |
| Marion | 48 | 48 | 17 |
| Madison | 47 | 47 | 16 |
| Walton | 45 | 45 | 16 |
| Charlotte | 44 | 44 | 15 |
| Putnam | 43 | 43 | 15 |
| Wakulla | 42 | 42 | 15 |
| Jefferson | 41 | 41 | 14 |
| Baker | 40 | 40 | 14 |
| Suwannee | 39 | 39 | 14 |
| Taylor | 38 | 38 | 13 |
| Manatee | 37 | 37 | 13 |
| Citrus | 37 | 37 | 13 |
| Alachua | 36 | 36 | 13 |
| Sarasota | 35 | 35 | 12 |
| Hernando | 34 | 34 | 12 |
| Lake | 34 | 34 | 12 |
| Jackson | 33 | 33 | 12 |
| Gulf | 32 | 32 | 11 |
| Holmes | 32 | 32 | 11 |
| Pasco | 31 | 31 | 11 |
| Seminole | 31 | 31 | 11 |
| Hendry | 30 | 30 | 11 |
| Highlands | 30 | 30 | 11 |
| Volusia | 29 | 29 | 10 |
| Broward | 29 | 29 | 10 |
| Palm Beach | 28 | 28 | 10 |
| Liberty | 28 | 28 | 10 |
| Miami Dade | 27 | 27 | 9 |
| Collier | 27 | 27 | 9 |
| Union | 26 | 26 | 9 |
| Hillsborough | 26 | 26 | 9 |
| Okeechobee | 26 | 26 | 9 |
| Osceola | 26 | 26 | 9 |
| Santa Rosa | 25 | 25 | 9 |
| Dixie | 25 | 25 | 9 |
| Glades | 24 | 24 | 8 |
| All districts (70) | 8,136 | 8,136 | 2,848 |
The Clothing stores database includes 8,136+ verified Clothing 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.
Anusha (US) bought 1 day ago · Rahim (US) bought 5 days ago · Scott (US) bought 1 week ago · Ted (US) bought 1 week ago · Francis (US) bought 1 week ago
Our latest 2026 count shows 8,136+ live Clothing stores across Florida, United States. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Clothing stores CSV covering all of Florida, United States within seconds. Every row is human-checked.
The CSV ships with one row per Clothing location, columns covering Clothing 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.
Each Clothing row goes through phone validation, address cross-check against Google Maps and a check against the official Clothing Florida, United States locator. Records that fail any of those drop before you ever see them.
Yes. The Clothing 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 Clothing 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 Clothing 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 8,136+ 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 03:30 AM
Rows (Regular):
4,068
Rows (Extended):
8,136
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
