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This dataset covers 4,742 verified records spread across 88+ districts in Minnesota. 4,742 records carry a verified phone number and 1,660 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Mahnomen (937 listings), Anoka (469 listings), Sibley (312 listings), Nicollet (234 listings), Waseca (187 listings), Goodhue (156 listings), Stevens (134 listings), and Aitkin (117 listings).
Additional coverage spans Dakota (104), St. Louis (94), Pine (85), Becker (78), Winona (72), Olmsted (67), Todd (62), Blue Earth (59), Lac qui Parle (55), Benton (52), Brown (49), Houston (47) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Mahnomen | 937 | 937 | 328 |
| Anoka | 469 | 469 | 164 |
| Sibley | 312 | 312 | 109 |
| Nicollet | 234 | 234 | 82 |
| Waseca | 187 | 187 | 65 |
| Goodhue | 156 | 156 | 55 |
| Stevens | 134 | 134 | 47 |
| Aitkin | 117 | 117 | 41 |
| Dakota | 104 | 104 | 36 |
| St. Louis | 94 | 94 | 33 |
| All districts (88) | 4,742 | 4,742 | 1,660 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Mahnomen | 937 | 937 | 328 |
| Anoka | 469 | 469 | 164 |
| Sibley | 312 | 312 | 109 |
| Nicollet | 234 | 234 | 82 |
| Waseca | 187 | 187 | 65 |
| Goodhue | 156 | 156 | 55 |
| Stevens | 134 | 134 | 47 |
| Aitkin | 117 | 117 | 41 |
| Dakota | 104 | 104 | 36 |
| St. Louis | 94 | 94 | 33 |
| Pine | 85 | 85 | 30 |
| Becker | 78 | 78 | 27 |
| Winona | 72 | 72 | 25 |
| Olmsted | 67 | 67 | 23 |
| Todd | 62 | 62 | 22 |
| Blue Earth | 59 | 59 | 21 |
| Lac qui Parle | 55 | 55 | 19 |
| Benton | 52 | 52 | 18 |
| Brown | 49 | 49 | 17 |
| Houston | 47 | 47 | 16 |
| Chisago | 45 | 45 | 16 |
| Freeborn | 43 | 43 | 15 |
| Otter Tail | 41 | 41 | 14 |
| Rice | 39 | 39 | 14 |
| Lake | 37 | 37 | 13 |
| Scott | 36 | 36 | 13 |
| Washington | 35 | 35 | 12 |
| Lake of the Woods | 33 | 33 | 12 |
| Wilkin | 32 | 32 | 11 |
| Kanabec | 31 | 31 | 11 |
| Big Stone | 30 | 30 | 11 |
| Beltrami | 29 | 29 | 10 |
| Kandiyohi | 28 | 28 | 10 |
| Martin | 28 | 28 | 10 |
| Cass | 27 | 27 | 9 |
| Watonwan | 26 | 26 | 9 |
| Yellow Medicine | 25 | 25 | 9 |
| Kittson | 25 | 25 | 9 |
| Redwood | 24 | 24 | 8 |
| Clearwater | 23 | 23 | 8 |
| Lincoln | 23 | 23 | 8 |
| Red Lake | 22 | 22 | 8 |
| Wadena | 22 | 22 | 8 |
| Pennington | 21 | 21 | 7 |
| Mower | 21 | 21 | 7 |
| Cottonwood | 20 | 20 | 7 |
| Wabasha | 20 | 20 | 7 |
| Faribault | 20 | 20 | 7 |
| Chippewa | 19 | 19 | 7 |
| Itasca | 19 | 19 | 7 |
| Norman | 18 | 18 | 6 |
| Grant | 18 | 18 | 6 |
| Marshall | 18 | 18 | 6 |
| Cook | 17 | 17 | 6 |
| Wright | 17 | 17 | 6 |
| Koochiching | 17 | 17 | 6 |
| Morrison | 16 | 16 | 6 |
| McLeod | 16 | 16 | 6 |
| Mille Lacs | 16 | 16 | 6 |
| Lyon | 16 | 16 | 6 |
| Crow Wing | 15 | 15 | 5 |
| Carlton | 15 | 15 | 5 |
| Traverse | 15 | 15 | 5 |
| Ramsey | 15 | 15 | 5 |
| Hubbard | 14 | 14 | 5 |
| Renville | 14 | 14 | 5 |
| Fillmore | 14 | 14 | 5 |
| Murray | 14 | 14 | 5 |
| Hennepin | 14 | 14 | 5 |
| Jackson | 14 | 14 | 5 |
| Stearns | 13 | 13 | 5 |
| Sherburne | 13 | 13 | 5 |
| Steele | 13 | 13 | 5 |
| Roseau | 13 | 13 | 5 |
| Isanti | 13 | 13 | 5 |
| Nobles | 12 | 12 | 4 |
| Dodge | 12 | 12 | 4 |
| St Louis | 12 | 12 | 4 |
| Douglas | 12 | 12 | 4 |
| Rock | 12 | 12 | 4 |
| Carver | 12 | 12 | 4 |
| Pipestone | 12 | 12 | 4 |
| Swift | 11 | 11 | 4 |
| Le Sueur | 11 | 11 | 4 |
| Pope | 11 | 11 | 4 |
| Polk | 11 | 11 | 4 |
| Meeker | 11 | 11 | 4 |
| Clay | 11 | 11 | 4 |
| All districts (88) | 4,742 | 4,742 | 1,660 |
The Casual Dining restaurants database includes 4,742+ verified Casual Dining restaurants 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.
Jim (US) bought 2 days ago · Amanda (AU) bought 3 days ago · Iqbal (AU) bought 4 days ago · Jerad (US) bought 6 days ago · Julia (US) bought 6 days ago
Casual Dining currently operates 4,742+ restaurants in Minnesota, United States (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
Data2Sales AI hosts the most up-to-date Casual Dining restaurants list for Minnesota, United States; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Every record in the Casual Dining restaurants dataset includes: Casual Dining 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.
We verify each Casual Dining entry against the brand's official locator, Google Places and our directory partners on a 30-day cycle. Anything closed or with a dead phone gets dropped before export, so the CSV is the live Minnesota, United States footprint, not last year's.
Yes. The Casual Dining restaurants 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 Casual Dining 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 Casual Dining restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for Minnesota, United States is a 4,742+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 14, 2026 05:45 AM
Published:
May 11, 2026 03:48 AM
Rows (Regular):
2,371
Rows (Extended):
4,742
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
