This dataset covers 6,917 verified records spread across
70+ districts in Florida.
6,917 records carry a verified phone number and
2,421 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density districts are
Manatee (1,431 listings), Okaloosa (716 listings), Alachua (477 listings), Gulf (358 listings), Wakulla (286 listings), Lake (239 listings), Orange (204 listings), and Martin (179 listings).
Additional coverage spans
Indian River (159),
St Lucie (143),
Franklin (130),
St Johns (119),
Sumter (110),
Jackson (102),
Bradford (95),
Liberty (89),
Monroe (84),
Jefferson (80),
Miami Dade (75),
Hardee (72)
, plus 50 more districts.
Coverage in Florida — by district
Total rows:6,917With mobile:6,917With website:2,421
Districts
Total
With mobile
With website
Manatee
1,431
1,431
501
Okaloosa
716
716
251
Alachua
477
477
167
Gulf
358
358
125
Wakulla
286
286
100
Lake
239
239
84
Orange
204
204
71
Martin
179
179
63
Indian River
159
159
56
St Lucie
143
143
50
All districts (70)
6,917
6,917
2,421
Coverage in Florida — all 70 districts
Districts
Total
With mobile
With website
Manatee
1,431
1,431
501
Okaloosa
716
716
251
Alachua
477
477
167
Gulf
358
358
125
Wakulla
286
286
100
Lake
239
239
84
Orange
204
204
71
Martin
179
179
63
Indian River
159
159
56
St Lucie
143
143
50
Franklin
130
130
46
St Johns
119
119
42
Sumter
110
110
39
Jackson
102
102
36
Bradford
95
95
33
Liberty
89
89
31
Monroe
84
84
29
Jefferson
80
80
28
Miami Dade
75
75
26
Hardee
72
72
25
Volusia
68
68
24
Broward
65
65
23
Pinellas
62
62
22
Duval
60
60
21
Palm Beach
57
57
20
Nassau
55
55
19
Walton
53
53
19
Marion
51
51
18
Putnam
49
49
17
Hamilton
48
48
17
Escambia
46
46
16
Osceola
45
45
16
Columbia
43
43
15
Collier
42
42
15
Highlands
41
41
14
Santa Rosa
40
40
14
Okeechobee
39
39
14
DeSoto
38
38
13
Taylor
37
37
13
Baker
36
36
13
Citrus
35
35
12
Flagler
34
34
12
Washington
33
33
12
Gadsden
33
33
12
Suwannee
32
32
11
Calhoun
31
31
11
Lee
30
30
11
Brevard
30
30
11
Holmes
29
29
10
Hernando
29
29
10
Sarasota
28
28
10
Clay
28
28
10
Polk
27
27
9
Hendry
27
27
9
Charlotte
26
26
9
Miami-Dade
26
26
9
Seminole
25
25
9
Pasco
25
25
9
St. Lucie
24
24
8
Bay
24
24
8
St. Johns
23
23
8
Leon
23
23
8
Union
23
23
8
Madison
22
22
8
Gilchrist
22
22
8
Hillsborough
22
22
8
Glades
21
21
7
Lafayette
21
21
7
Levy
21
21
7
Dixie
20
20
7
All districts (70)
6,917
6,917
2,421
Related coverage — same industry
Drill up for wider coverage
Shopping Malls And Retail Centers Database — United States
The Shopping Malls and Retail Centers database for Florida, United States includes 6,917+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
How to use this data
Lookalike modelling — feed verified shopping malls and retail centers signals into your ad platform's modelling for Florida, United States.
Operating-model design — base scale-up cost models on real Florida, United States shopping malls and retail centers headcount, not extrapolation.
Cross-sell modelling — surface shopping malls and retail centers buyers in Florida, United States likely to need adjacent products.
Frequently asked about this dataset
How many businesses are in the Shopping Malls and Retail Centers database for Florida, United States?
The Shopping Malls and Retail Centers database for Florida, United States contains 6,917+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
Where can I download a Shopping Malls and Retail Centers database for Florida, United States?
The complete Shopping Malls and Retail Centers database for Florida, United States is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.
What fields are included in the Shopping Malls and Retail Centers dataset?
Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
How accurate is the Shopping Malls and Retail Centers data for Florida, United States?
Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live shopping malls and retail centers footprint in Florida, United States.
Is the Shopping Malls and Retail Centers dataset updated regularly?
Yes. The Shopping Malls and Retail Centers dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.
Can I use the Shopping Malls and Retail Centers data for marketing and outreach?
Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.
What format do I receive the Shopping Malls and Retail Centers database in?
You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.
How quickly can I download the dataset after purchase?
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Shopping Malls and Retail Centers Database in Florida, United States
Data2Sales AI's World Wide Data database for Florida, United States consolidates 6,917+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.