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This dataset covers 6,268 verified records spread across 70+ districts in Florida. 6,268 records carry a verified phone number and 2,194 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Bay (1,297 listings), Duval (648 listings), Volusia (432 listings), St. Lucie (324 listings), St. Johns (259 listings), Broward (216 listings), Holmes (185 listings), and Hendry (162 listings).
Additional coverage spans Liberty (144), Lafayette (130), Levy (118), Collier (108), Taylor (100), Osceola (93), Gilchrist (86), Leon (81), Citrus (76), Washington (72), Suwannee (68), Wakulla (65) , plus 50 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Bay | 1,297 | 1,297 | 454 |
| Duval | 648 | 648 | 227 |
| Volusia | 432 | 432 | 151 |
| St. Lucie | 324 | 324 | 113 |
| St. Johns | 259 | 259 | 91 |
| Broward | 216 | 216 | 76 |
| Holmes | 185 | 185 | 65 |
| Hendry | 162 | 162 | 57 |
| Liberty | 144 | 144 | 50 |
| Lafayette | 130 | 130 | 46 |
| All districts (70) | 6,268 | 6,268 | 2,194 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Bay | 1,297 | 1,297 | 454 |
| Duval | 648 | 648 | 227 |
| Volusia | 432 | 432 | 151 |
| St. Lucie | 324 | 324 | 113 |
| St. Johns | 259 | 259 | 91 |
| Broward | 216 | 216 | 76 |
| Holmes | 185 | 185 | 65 |
| Hendry | 162 | 162 | 57 |
| Liberty | 144 | 144 | 50 |
| Lafayette | 130 | 130 | 46 |
| Levy | 118 | 118 | 41 |
| Collier | 108 | 108 | 38 |
| Taylor | 100 | 100 | 35 |
| Osceola | 93 | 93 | 33 |
| Gilchrist | 86 | 86 | 30 |
| Leon | 81 | 81 | 28 |
| Citrus | 76 | 76 | 27 |
| Washington | 72 | 72 | 25 |
| Suwannee | 68 | 68 | 24 |
| Wakulla | 65 | 65 | 23 |
| Alachua | 62 | 62 | 22 |
| Glades | 59 | 59 | 21 |
| Manatee | 56 | 56 | 20 |
| Jackson | 54 | 54 | 19 |
| Charlotte | 52 | 52 | 18 |
| Indian River | 50 | 50 | 18 |
| Miami-Dade | 48 | 48 | 17 |
| Seminole | 46 | 46 | 16 |
| Clay | 45 | 45 | 16 |
| Polk | 43 | 43 | 15 |
| Hernando | 42 | 42 | 15 |
| Lee | 41 | 41 | 14 |
| Sarasota | 39 | 39 | 14 |
| Palm Beach | 38 | 38 | 13 |
| Pinellas | 37 | 37 | 13 |
| Sumter | 36 | 36 | 13 |
| Martin | 35 | 35 | 12 |
| Miami Dade | 34 | 34 | 12 |
| Bradford | 33 | 33 | 12 |
| Jefferson | 32 | 32 | 11 |
| Orange | 32 | 32 | 11 |
| Dixie | 31 | 31 | 11 |
| Highlands | 30 | 30 | 11 |
| Santa Rosa | 29 | 29 | 10 |
| Okeechobee | 29 | 29 | 10 |
| Hillsborough | 28 | 28 | 10 |
| Columbia | 28 | 28 | 10 |
| Madison | 27 | 27 | 9 |
| Escambia | 26 | 26 | 9 |
| Union | 26 | 26 | 9 |
| Hamilton | 25 | 25 | 9 |
| Gadsden | 25 | 25 | 9 |
| DeSoto | 24 | 24 | 8 |
| Calhoun | 24 | 24 | 8 |
| Lake | 24 | 24 | 8 |
| Marion | 23 | 23 | 8 |
| Gulf | 23 | 23 | 8 |
| Walton | 22 | 22 | 8 |
| Flagler | 22 | 22 | 8 |
| Okaloosa | 22 | 22 | 8 |
| Brevard | 22 | 22 | 8 |
| Putnam | 21 | 21 | 7 |
| Baker | 21 | 21 | 7 |
| Pasco | 21 | 21 | 7 |
| St Johns | 20 | 20 | 7 |
| Franklin | 20 | 20 | 7 |
| Hardee | 20 | 20 | 7 |
| St Lucie | 19 | 19 | 7 |
| Nassau | 19 | 19 | 7 |
| Monroe | 19 | 19 | 7 |
| All districts (70) | 6,268 | 6,268 | 2,194 |
The Refreshed Clothing Retail stores database includes 6,268+ verified Refreshed Clothing Retail 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.
Counting only operational sites, the Refreshed Clothing Retail footprint in Florida, United States sits at about 6,268+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Refreshed Clothing Retail stores CSV covering all of Florida, United States within seconds. Every row is human-checked.
Each Refreshed Clothing Retail record carries the full operational profile: Refreshed Clothing Retail 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.
Triple-source verification: the Refreshed Clothing Retail 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 Refreshed Clothing Retail 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 Refreshed Clothing Retail 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 Refreshed Clothing Retail stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
This World Wide Data list covers 6,268+ verified records operating in Florida, United States. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.
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):
2,821
Rows (Extended):
6,268
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
