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This dataset covers 2,779 verified records spread across 88+ districts in Minnesota. 2,779 records carry a verified phone number and 973 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Faribault (549 listings), Cook (275 listings), Lake of the Woods (183 listings), Blue Earth (137 listings), Redwood (110 listings), Anoka (92 listings), Kittson (78 listings), and Freeborn (69 listings).
Additional coverage spans Lincoln (61), Otter Tail (55), Wabasha (50), Wilkin (46), Kandiyohi (42), Nicollet (39), Big Stone (37), Brown (34), Mahnomen (32), Martin (31), Itasca (29), Lyon (27) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Faribault | 549 | 549 | 192 |
| Cook | 275 | 275 | 96 |
| Lake of the Woods | 183 | 183 | 64 |
| Blue Earth | 137 | 137 | 48 |
| Redwood | 110 | 110 | 39 |
| Anoka | 92 | 92 | 32 |
| Kittson | 78 | 78 | 27 |
| Freeborn | 69 | 69 | 24 |
| Lincoln | 61 | 61 | 21 |
| Otter Tail | 55 | 55 | 19 |
| All districts (88) | 2,779 | 2,779 | 973 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Faribault | 549 | 549 | 192 |
| Cook | 275 | 275 | 96 |
| Lake of the Woods | 183 | 183 | 64 |
| Blue Earth | 137 | 137 | 48 |
| Redwood | 110 | 110 | 39 |
| Anoka | 92 | 92 | 32 |
| Kittson | 78 | 78 | 27 |
| Freeborn | 69 | 69 | 24 |
| Lincoln | 61 | 61 | 21 |
| Otter Tail | 55 | 55 | 19 |
| Wabasha | 50 | 50 | 18 |
| Wilkin | 46 | 46 | 16 |
| Kandiyohi | 42 | 42 | 15 |
| Nicollet | 39 | 39 | 14 |
| Big Stone | 37 | 37 | 13 |
| Brown | 34 | 34 | 12 |
| Mahnomen | 32 | 32 | 11 |
| Martin | 31 | 31 | 11 |
| Itasca | 29 | 29 | 10 |
| Lyon | 27 | 27 | 9 |
| Kanabec | 26 | 26 | 9 |
| Wadena | 25 | 25 | 9 |
| Rock | 24 | 24 | 8 |
| Waseca | 23 | 23 | 8 |
| Scott | 22 | 22 | 8 |
| Olmsted | 21 | 21 | 7 |
| Beltrami | 20 | 20 | 7 |
| Sibley | 20 | 20 | 7 |
| Houston | 19 | 19 | 7 |
| Yellow Medicine | 18 | 18 | 6 |
| Watonwan | 18 | 18 | 6 |
| Chisago | 17 | 17 | 6 |
| Red Lake | 17 | 17 | 6 |
| Pennington | 16 | 16 | 6 |
| Cottonwood | 16 | 16 | 6 |
| Aitkin | 15 | 15 | 5 |
| Dakota | 15 | 15 | 5 |
| Clearwater | 14 | 14 | 5 |
| Chippewa | 14 | 14 | 5 |
| Washington | 14 | 14 | 5 |
| St. Louis | 13 | 13 | 5 |
| Benton | 13 | 13 | 5 |
| Winona | 13 | 13 | 5 |
| Clay | 12 | 12 | 4 |
| Becker | 12 | 12 | 4 |
| Polk | 12 | 12 | 4 |
| Pope | 12 | 12 | 4 |
| Goodhue | 11 | 11 | 4 |
| Stevens | 11 | 11 | 4 |
| Mower | 11 | 11 | 4 |
| Grant | 11 | 11 | 4 |
| Steele | 11 | 11 | 4 |
| Roseau | 10 | 10 | 4 |
| Mille Lacs | 10 | 10 | 4 |
| Lac qui Parle | 10 | 10 | 4 |
| Fillmore | 10 | 10 | 4 |
| Renville | 10 | 10 | 4 |
| Traverse | 9 | 9 | 3 |
| Pipestone | 9 | 9 | 3 |
| Nobles | 9 | 9 | 3 |
| Hennepin | 9 | 9 | 3 |
| Isanti | 9 | 9 | 3 |
| Jackson | 9 | 9 | 3 |
| Rice | 9 | 9 | 3 |
| Stearns | 8 | 8 | 3 |
| Carver | 8 | 8 | 3 |
| Sherburne | 8 | 8 | 3 |
| Marshall | 8 | 8 | 3 |
| Morrison | 8 | 8 | 3 |
| Meeker | 8 | 8 | 3 |
| Douglas | 8 | 8 | 3 |
| Todd | 8 | 8 | 3 |
| Pine | 8 | 8 | 3 |
| Le Sueur | 7 | 7 | 2 |
| Norman | 7 | 7 | 2 |
| Carlton | 7 | 7 | 2 |
| Hubbard | 7 | 7 | 2 |
| Lake | 7 | 7 | 2 |
| Crow Wing | 7 | 7 | 2 |
| Wright | 7 | 7 | 2 |
| Dodge | 7 | 7 | 2 |
| Swift | 7 | 7 | 2 |
| Koochiching | 7 | 7 | 2 |
| McLeod | 7 | 7 | 2 |
| Ramsey | 7 | 7 | 2 |
| Murray | 6 | 6 | 2 |
| Cass | 6 | 6 | 2 |
| St Louis | 6 | 6 | 2 |
| All districts (88) | 2,779 | 2,779 | 973 |
The Clothing stores database includes 2,779+ verified Clothing stores in Minnesota, 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.
Dorcas (AU) bought 1 day ago · Gulab (US) bought 2 days ago · Chaya (IN) bought 2 days ago · Torey (US) bought 2 days ago · Omar (US) bought 2 days ago
There are roughly 2,779+ Clothing stores in Minnesota, United States as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Clothing stores CSV covering all of Minnesota, United States within seconds. Every row is human-checked.
Every record in the Clothing stores dataset includes: Clothing store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Every Clothing location is cross-referenced across the Clothing store locator, Google Maps and licensed business directories before it ships. Closed storefronts, disconnected phones and duplicate listings are stripped on every monthly refresh, so the CSV you download reflects the live Clothing footprint in Minnesota, United States.
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 Minnesota, United States? This database aggregates 2,779+ 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 14, 2026 02:30 AM
Published:
May 11, 2026 03:48 AM
Rows (Regular):
1,390
Rows (Extended):
2,779
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
