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This dataset covers 441 verified records spread across 66+ districts in South Dakota. 441 records carry a verified phone number and 154 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Marshall (92 listings), Fall River (46 listings), Sanborn (31 listings), Lake (23 listings), Union (18 listings), Stanley (15 listings), Hyde (13 listings), and Lincoln (12 listings).
Additional coverage spans Tripp (10), Potter (9), Walworth (8), Brookings (8), Miner (7), Custer (7), Beadle (6), Bon Homme (6), Lyman (5), Mellette (5), Yankton (5), Faulk (5) , plus 46 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Marshall | 92 | 92 | 32 |
| Fall River | 46 | 46 | 16 |
| Sanborn | 31 | 31 | 11 |
| Lake | 23 | 23 | 8 |
| Union | 18 | 18 | 6 |
| Stanley | 15 | 15 | 5 |
| Hyde | 13 | 13 | 5 |
| Lincoln | 12 | 12 | 4 |
| Tripp | 10 | 10 | 4 |
| Potter | 9 | 9 | 3 |
| All districts (66) | 441 | 441 | 154 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Marshall | 92 | 92 | 32 |
| Fall River | 46 | 46 | 16 |
| Sanborn | 31 | 31 | 11 |
| Lake | 23 | 23 | 8 |
| Union | 18 | 18 | 6 |
| Stanley | 15 | 15 | 5 |
| Hyde | 13 | 13 | 5 |
| Lincoln | 12 | 12 | 4 |
| Tripp | 10 | 10 | 4 |
| Potter | 9 | 9 | 3 |
| Walworth | 8 | 8 | 3 |
| Brookings | 8 | 8 | 3 |
| Miner | 7 | 7 | 2 |
| Custer | 7 | 7 | 2 |
| Beadle | 6 | 6 | 2 |
| Bon Homme | 6 | 6 | 2 |
| Lyman | 5 | 5 | 2 |
| Mellette | 5 | 5 | 2 |
| Yankton | 5 | 5 | 2 |
| Faulk | 5 | 5 | 2 |
| Brown | 4 | 4 | 1 |
| Buffalo | 4 | 4 | 1 |
| Aurora | 4 | 4 | 1 |
| Corson | 4 | 4 | 1 |
| Spink | 4 | 4 | 1 |
| Charles Mix | 4 | 4 | 1 |
| Todd | 3 | 3 | 1 |
| Brule | 3 | 3 | 1 |
| Butte | 3 | 3 | 1 |
| Harding | 3 | 3 | 1 |
| Moody | 3 | 3 | 1 |
| Deuel | 3 | 3 | 1 |
| McCook | 3 | 3 | 1 |
| Hand | 3 | 3 | 1 |
| McPherson | 3 | 3 | 1 |
| Codington | 3 | 3 | 1 |
| Jackson | 2 | 2 | 1 |
| Turner | 2 | 2 | 1 |
| Hanson | 2 | 2 | 1 |
| Lawrence | 2 | 2 | 1 |
| Kingsbury | 2 | 2 | 1 |
| Sully | 2 | 2 | 1 |
| Edmunds | 2 | 2 | 1 |
| Douglas | 2 | 2 | 1 |
| Clay | 2 | 2 | 1 |
| Ziebach | 2 | 2 | 1 |
| Bennett | 2 | 2 | 1 |
| Davison | 2 | 2 | 1 |
| Jones | 2 | 2 | 1 |
| Hamlin | 2 | 2 | 1 |
| Clark | 2 | 2 | 1 |
| Minnehaha | 2 | 2 | 1 |
| Campbell | 2 | 2 | 1 |
| Haakon | 2 | 2 | 1 |
| Gregory | 2 | 2 | 1 |
| Grant | 2 | 2 | 1 |
| Pennington | 2 | 2 | 1 |
| Dewey | 2 | 2 | 1 |
| Roberts | 2 | 2 | 1 |
| Jerauld | 2 | 2 | 1 |
| Meade | 2 | 2 | 1 |
| Oglala Lakota | 2 | 2 | 1 |
| Perkins | 1 | 1 | 0 |
| Hughes | 1 | 1 | 0 |
| Hutchinson | 1 | 1 | 0 |
| Day | 1 | 1 | 0 |
| All districts (66) | 441 | 441 | 154 |
The Single Brand Retail stores database includes 441+ verified Single Brand Retail stores in South Dakota, 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.
Rob (US) bought 1 day ago · Parveen (US) bought 1 day ago · Terence (US) bought 1 day ago · Alfie (US) bought 1 day ago · Hollis (US) bought 4 days ago
Our latest 2026 count shows 441+ live Single Brand Retail stores across South Dakota, United States. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Single Brand Retail stores CSV covering all of South Dakota, United States within seconds. Every row is human-checked.
Every record in the Single Brand Retail stores dataset includes: Single Brand Retail 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 Single Brand Retail 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 South Dakota, United States footprint, not last year's.
Yes. The Single Brand 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 Single Brand 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 Single Brand Retail stores — 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 South Dakota, United States is a 441+ 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 18, 2026 02:30 AM
Published:
May 11, 2026 04:13 AM
Rows (Extended):
441
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
