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This dataset covers 791 verified records spread across 66+ districts in South Dakota. 791 records carry a verified phone number and 277 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Marshall (166 listings), McPherson (83 listings), Spink (55 listings), Corson (41 listings), Brown (33 listings), Codington (28 listings), Aurora (24 listings), and Buffalo (21 listings).
Additional coverage spans Oglala Lakota (18), Butte (17), Kingsbury (15), Walworth (14), Harding (13), Mellette (12), Brule (11), Lincoln (10), Potter (10), Minnehaha (9), Clay (9), Tripp (8) , plus 46 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Marshall | 166 | 166 | 58 |
| McPherson | 83 | 83 | 29 |
| Spink | 55 | 55 | 19 |
| Corson | 41 | 41 | 14 |
| Brown | 33 | 33 | 12 |
| Codington | 28 | 28 | 10 |
| Aurora | 24 | 24 | 8 |
| Buffalo | 21 | 21 | 7 |
| Oglala Lakota | 18 | 18 | 6 |
| Butte | 17 | 17 | 6 |
| All districts (66) | 791 | 791 | 277 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Marshall | 166 | 166 | 58 |
| McPherson | 83 | 83 | 29 |
| Spink | 55 | 55 | 19 |
| Corson | 41 | 41 | 14 |
| Brown | 33 | 33 | 12 |
| Codington | 28 | 28 | 10 |
| Aurora | 24 | 24 | 8 |
| Buffalo | 21 | 21 | 7 |
| Oglala Lakota | 18 | 18 | 6 |
| Butte | 17 | 17 | 6 |
| Kingsbury | 15 | 15 | 5 |
| Walworth | 14 | 14 | 5 |
| Harding | 13 | 13 | 5 |
| Mellette | 12 | 12 | 4 |
| Brule | 11 | 11 | 4 |
| Lincoln | 10 | 10 | 4 |
| Potter | 10 | 10 | 4 |
| Minnehaha | 9 | 9 | 3 |
| Clay | 9 | 9 | 3 |
| Tripp | 8 | 8 | 3 |
| Stanley | 8 | 8 | 3 |
| Sanborn | 8 | 8 | 3 |
| Union | 7 | 7 | 2 |
| Lyman | 7 | 7 | 2 |
| Yankton | 7 | 7 | 2 |
| Beadle | 6 | 6 | 2 |
| Faulk | 6 | 6 | 2 |
| Custer | 6 | 6 | 2 |
| Fall River | 6 | 6 | 2 |
| Hand | 6 | 6 | 2 |
| Miner | 5 | 5 | 2 |
| Hutchinson | 5 | 5 | 2 |
| Gregory | 5 | 5 | 2 |
| Haakon | 5 | 5 | 2 |
| Pennington | 5 | 5 | 2 |
| Hamlin | 5 | 5 | 2 |
| Clark | 4 | 4 | 1 |
| Jones | 4 | 4 | 1 |
| Todd | 4 | 4 | 1 |
| Davison | 4 | 4 | 1 |
| Meade | 4 | 4 | 1 |
| Brookings | 4 | 4 | 1 |
| Perkins | 4 | 4 | 1 |
| Hughes | 4 | 4 | 1 |
| Lawrence | 4 | 4 | 1 |
| Jerauld | 4 | 4 | 1 |
| Bon Homme | 4 | 4 | 1 |
| Roberts | 3 | 3 | 1 |
| Grant | 3 | 3 | 1 |
| Dewey | 3 | 3 | 1 |
| Hanson | 3 | 3 | 1 |
| Turner | 3 | 3 | 1 |
| Campbell | 3 | 3 | 1 |
| Charles Mix | 3 | 3 | 1 |
| Jackson | 3 | 3 | 1 |
| Moody | 3 | 3 | 1 |
| Deuel | 3 | 3 | 1 |
| McCook | 3 | 3 | 1 |
| Bennett | 3 | 3 | 1 |
| Day | 3 | 3 | 1 |
| Hyde | 3 | 3 | 1 |
| Douglas | 3 | 3 | 1 |
| Ziebach | 3 | 3 | 1 |
| Edmunds | 3 | 3 | 1 |
| Lake | 3 | 3 | 1 |
| Sully | 1 | 1 | 0 |
| All districts (66) | 791 | 791 | 277 |
The Clothing stores database includes 791+ verified 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.
Berniece (GB) bought 1 day ago · Jennifer (GB) bought 3 days ago · Juvenal (US) bought 4 days ago · Deon (US) bought 5 days ago · Evelyn (US) bought 1 week ago
Our latest 2026 count shows 791+ live Clothing stores across South Dakota, United States. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Data2Sales AI hosts the most up-to-date Clothing stores list for South Dakota, United States; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
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.
Triple-source verification: the Clothing store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
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.
Data2Sales AI's World Wide Data database for South Dakota, United States consolidates 791+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 11, 2026 04:14 AM
Rows (Extended):
791
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
