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This dataset covers 6,494 verified records spread across 88+ districts in Minnesota. 6,494 records carry a verified phone number and 2,273 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Scott (1,283 listings), Le Sueur (642 listings), McLeod (428 listings), Murray (321 listings), Rock (257 listings), Lac qui Parle (214 listings), Ramsey (183 listings), and St. Louis (160 listings).
Additional coverage spans Otter Tail (143), Carlton (128), Norman (117), Wright (107), St Louis (99), Pope (92), Polk (86), Hubbard (80), Mower (75), Blue Earth (71), Clay (68), Anoka (64) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Scott | 1,283 | 1,283 | 449 |
| Le Sueur | 642 | 642 | 225 |
| McLeod | 428 | 428 | 150 |
| Murray | 321 | 321 | 112 |
| Rock | 257 | 257 | 90 |
| Lac qui Parle | 214 | 214 | 75 |
| Ramsey | 183 | 183 | 64 |
| St. Louis | 160 | 160 | 56 |
| Otter Tail | 143 | 143 | 50 |
| Carlton | 128 | 128 | 45 |
| All districts (88) | 6,494 | 6,494 | 2,273 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Scott | 1,283 | 1,283 | 449 |
| Le Sueur | 642 | 642 | 225 |
| McLeod | 428 | 428 | 150 |
| Murray | 321 | 321 | 112 |
| Rock | 257 | 257 | 90 |
| Lac qui Parle | 214 | 214 | 75 |
| Ramsey | 183 | 183 | 64 |
| St. Louis | 160 | 160 | 56 |
| Otter Tail | 143 | 143 | 50 |
| Carlton | 128 | 128 | 45 |
| Norman | 117 | 117 | 41 |
| Wright | 107 | 107 | 37 |
| St Louis | 99 | 99 | 35 |
| Pope | 92 | 92 | 32 |
| Polk | 86 | 86 | 30 |
| Hubbard | 80 | 80 | 28 |
| Mower | 75 | 75 | 26 |
| Blue Earth | 71 | 71 | 25 |
| Clay | 68 | 68 | 24 |
| Anoka | 64 | 64 | 22 |
| Stearns | 61 | 61 | 21 |
| Lake of the Woods | 58 | 58 | 20 |
| Carver | 56 | 56 | 20 |
| Cook | 53 | 53 | 19 |
| Hennepin | 51 | 51 | 18 |
| Washington | 49 | 49 | 17 |
| Douglas | 48 | 48 | 17 |
| Meeker | 46 | 46 | 16 |
| Fillmore | 44 | 44 | 15 |
| Renville | 43 | 43 | 15 |
| Big Stone | 41 | 41 | 14 |
| Traverse | 40 | 40 | 14 |
| Lyon | 39 | 39 | 14 |
| Brown | 38 | 38 | 13 |
| Roseau | 37 | 37 | 13 |
| Kandiyohi | 36 | 36 | 13 |
| Steele | 35 | 35 | 12 |
| Clearwater | 34 | 34 | 12 |
| Pennington | 33 | 33 | 12 |
| Cottonwood | 32 | 32 | 11 |
| Morrison | 31 | 31 | 11 |
| Jackson | 31 | 31 | 11 |
| Nobles | 30 | 30 | 11 |
| Isanti | 29 | 29 | 10 |
| Faribault | 29 | 29 | 10 |
| Marshall | 28 | 28 | 10 |
| Lake | 27 | 27 | 9 |
| Goodhue | 27 | 27 | 9 |
| Benton | 26 | 26 | 9 |
| Watonwan | 26 | 26 | 9 |
| Winona | 25 | 25 | 9 |
| Yellow Medicine | 25 | 25 | 9 |
| Becker | 24 | 24 | 8 |
| Beltrami | 24 | 24 | 8 |
| Chippewa | 23 | 23 | 8 |
| Red Lake | 23 | 23 | 8 |
| Stevens | 23 | 23 | 8 |
| Koochiching | 22 | 22 | 8 |
| Dodge | 22 | 22 | 8 |
| Houston | 21 | 21 | 7 |
| Waseca | 21 | 21 | 7 |
| Swift | 21 | 21 | 7 |
| Olmsted | 20 | 20 | 7 |
| Sibley | 20 | 20 | 7 |
| Crow Wing | 20 | 20 | 7 |
| Cass | 19 | 19 | 7 |
| Aitkin | 19 | 19 | 7 |
| Dakota | 19 | 19 | 7 |
| Mille Lacs | 19 | 19 | 7 |
| Chisago | 18 | 18 | 6 |
| Grant | 18 | 18 | 6 |
| Sherburne | 18 | 18 | 6 |
| Martin | 18 | 18 | 6 |
| Itasca | 17 | 17 | 6 |
| Freeborn | 17 | 17 | 6 |
| Wadena | 17 | 17 | 6 |
| Kanabec | 17 | 17 | 6 |
| Redwood | 16 | 16 | 6 |
| Pipestone | 16 | 16 | 6 |
| Kittson | 16 | 16 | 6 |
| Pine | 16 | 16 | 6 |
| Nicollet | 16 | 16 | 6 |
| Todd | 15 | 15 | 5 |
| Mahnomen | 15 | 15 | 5 |
| Rice | 15 | 15 | 5 |
| Wabasha | 15 | 15 | 5 |
| Wilkin | 15 | 15 | 5 |
| Lincoln | 13 | 13 | 5 |
| All districts (88) | 6,494 | 6,494 | 2,273 |
The Fitness Trainers database for Minnesota, United States includes 6,494+ 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.
The Fitness Trainers database for Minnesota, United States contains 6,494+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
The complete Fitness Trainers database for Minnesota, 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.
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.
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 fitness trainers footprint in Minnesota, United States.
Yes. The Fitness Trainers 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.
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.
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.
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.
Looking to reach world wide data decision-makers in Minnesota, United States? This database aggregates 6,494+ 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.
Last Update:
Aug 17, 2026 05:45 AM
Published:
Jul 06, 2026 11:40 AM
Rows (Regular):
3,247
Rows (Extended):
6,494
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
