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This dataset covers 253 verified records spread across 66+ districts in South Dakota. 253 records carry a verified phone number and 89 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Spink (53 listings), Jackson (26 listings), Minnehaha (18 listings), Fall River (13 listings), Hamlin (11 listings), Haakon (9 listings), Lawrence (8 listings), and Brown (7 listings).
Additional coverage spans Ziebach (6), Charles Mix (5), Douglas (5), Bennett (4), Butte (4), Brule (4), Hughes (4), Day (3), Todd (3), Edmunds (3), McCook (3), McPherson (3) , plus 46 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Spink | 53 | 53 | 19 |
| Jackson | 26 | 26 | 9 |
| Minnehaha | 18 | 18 | 6 |
| Fall River | 13 | 13 | 5 |
| Hamlin | 11 | 11 | 4 |
| Haakon | 9 | 9 | 3 |
| Lawrence | 8 | 8 | 3 |
| Brown | 7 | 7 | 2 |
| Ziebach | 6 | 6 | 2 |
| Charles Mix | 5 | 5 | 2 |
| All districts (66) | 253 | 253 | 89 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Spink | 53 | 53 | 19 |
| Jackson | 26 | 26 | 9 |
| Minnehaha | 18 | 18 | 6 |
| Fall River | 13 | 13 | 5 |
| Hamlin | 11 | 11 | 4 |
| Haakon | 9 | 9 | 3 |
| Lawrence | 8 | 8 | 3 |
| Brown | 7 | 7 | 2 |
| Ziebach | 6 | 6 | 2 |
| Charles Mix | 5 | 5 | 2 |
| Douglas | 5 | 5 | 2 |
| Bennett | 4 | 4 | 1 |
| Butte | 4 | 4 | 1 |
| Brule | 4 | 4 | 1 |
| Hughes | 4 | 4 | 1 |
| Day | 3 | 3 | 1 |
| Todd | 3 | 3 | 1 |
| Edmunds | 3 | 3 | 1 |
| McCook | 3 | 3 | 1 |
| McPherson | 3 | 3 | 1 |
| Tripp | 3 | 3 | 1 |
| Hyde | 2 | 2 | 1 |
| Gregory | 2 | 2 | 1 |
| Davison | 2 | 2 | 1 |
| Lake | 2 | 2 | 1 |
| Union | 2 | 2 | 1 |
| Turner | 2 | 2 | 1 |
| Codington | 2 | 2 | 1 |
| Hanson | 2 | 2 | 1 |
| Faulk | 2 | 2 | 1 |
| Jerauld | 2 | 2 | 1 |
| Kingsbury | 2 | 2 | 1 |
| Lyman | 2 | 2 | 1 |
| Perkins | 2 | 2 | 1 |
| Miner | 2 | 2 | 1 |
| Campbell | 1 | 1 | 0 |
| Roberts | 1 | 1 | 0 |
| Stanley | 1 | 1 | 0 |
| Aurora | 1 | 1 | 0 |
| Mellette | 1 | 1 | 0 |
| Lincoln | 1 | 1 | 0 |
| Clark | 1 | 1 | 0 |
| Jones | 1 | 1 | 0 |
| Walworth | 1 | 1 | 0 |
| Corson | 1 | 1 | 0 |
| Oglala Lakota | 1 | 1 | 0 |
| Sanborn | 1 | 1 | 0 |
| Meade | 1 | 1 | 0 |
| Yankton | 1 | 1 | 0 |
| Dewey | 1 | 1 | 0 |
| Marshall | 1 | 1 | 0 |
| Grant | 1 | 1 | 0 |
| Buffalo | 1 | 1 | 0 |
| Hand | 1 | 1 | 0 |
| Moody | 1 | 1 | 0 |
| Potter | 1 | 1 | 0 |
| Deuel | 1 | 1 | 0 |
| Harding | 1 | 1 | 0 |
| Pennington | 1 | 1 | 0 |
| Clay | 1 | 1 | 0 |
| Brookings | 1 | 1 | 0 |
| Custer | 1 | 1 | 0 |
| Beadle | 1 | 1 | 0 |
| Hutchinson | 1 | 1 | 0 |
| Sully | 1 | 1 | 0 |
| Bon Homme | 1 | 1 | 0 |
| All districts (66) | 253 | 253 | 89 |
The Men Clothing stores database includes 253+ verified Men Clothing 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.
Philip (US) bought 1 day ago · Dean (US) bought 2 days ago · Myah (GB) bought 6 days ago · Freya (US) bought 1 week ago
Men Clothing currently operates 253+ stores in South Dakota, United States (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Men Clothing stores CSV covering all of South Dakota, United States within seconds. Every row is human-checked.
The CSV ships with one row per Men Clothing location, columns covering Men Clothing store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL plus website, opening-hours window, ratings and review counts. UTF-8 encoded — imports cleanly into HubSpot, Salesforce, Zoho or any CRM.
We verify each Men Clothing 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 Men 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 Men 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 Men Clothing stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
This World Wide Data list covers 253+ verified records operating in South Dakota, United States. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 09, 2026 05:45 AM
Published:
May 11, 2026 04:13 AM
Rows (Extended):
253
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
