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This dataset covers 2,198 verified records spread across 72+ districts in Wisconsin. 2,198 records carry a verified phone number and 769 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Washington (452 listings), Buffalo (226 listings), Langlade (151 listings), Green (113 listings), Green Lake (90 listings), Oconto (75 listings), Crawford (65 listings), and Shawano (57 listings).
Additional coverage spans Eau Claire (50), Grant (45), Price (41), Marquette (38), Pierce (35), Door (32), Oneida (30), Clark (28), Dunn (27), Walworth (25), St. Croix (24), Sauk (23) , plus 52 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Washington | 452 | 452 | 158 |
| Buffalo | 226 | 226 | 79 |
| Langlade | 151 | 151 | 53 |
| Green | 113 | 113 | 40 |
| Green Lake | 90 | 90 | 32 |
| Oconto | 75 | 75 | 26 |
| Crawford | 65 | 65 | 23 |
| Shawano | 57 | 57 | 20 |
| Eau Claire | 50 | 50 | 18 |
| Grant | 45 | 45 | 16 |
| All districts (72) | 2,198 | 2,198 | 769 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Washington | 452 | 452 | 158 |
| Buffalo | 226 | 226 | 79 |
| Langlade | 151 | 151 | 53 |
| Green | 113 | 113 | 40 |
| Green Lake | 90 | 90 | 32 |
| Oconto | 75 | 75 | 26 |
| Crawford | 65 | 65 | 23 |
| Shawano | 57 | 57 | 20 |
| Eau Claire | 50 | 50 | 18 |
| Grant | 45 | 45 | 16 |
| Price | 41 | 41 | 14 |
| Marquette | 38 | 38 | 13 |
| Pierce | 35 | 35 | 12 |
| Door | 32 | 32 | 11 |
| Oneida | 30 | 30 | 11 |
| Clark | 28 | 28 | 10 |
| Dunn | 27 | 27 | 9 |
| Walworth | 25 | 25 | 9 |
| St. Croix | 24 | 24 | 8 |
| Sauk | 23 | 23 | 8 |
| Portage | 22 | 22 | 8 |
| Dodge | 21 | 21 | 7 |
| Waukesha | 20 | 20 | 7 |
| Kenosha | 19 | 19 | 7 |
| Waushara | 18 | 18 | 6 |
| Fond du Lac | 17 | 17 | 6 |
| Adams | 17 | 17 | 6 |
| Ozaukee | 16 | 16 | 6 |
| La Crosse | 16 | 16 | 6 |
| Lincoln | 15 | 15 | 5 |
| Burnett | 15 | 15 | 5 |
| Monroe | 14 | 14 | 5 |
| Lafayette | 14 | 14 | 5 |
| Calumet | 13 | 13 | 5 |
| Menominee | 13 | 13 | 5 |
| Kewaunee | 13 | 13 | 5 |
| Washburn | 12 | 12 | 4 |
| Manitowoc | 12 | 12 | 4 |
| Forest | 12 | 12 | 4 |
| Ashland | 11 | 11 | 4 |
| Rock | 11 | 11 | 4 |
| Milwaukee | 11 | 11 | 4 |
| Wood | 11 | 11 | 4 |
| Trempealeau | 10 | 10 | 4 |
| Waupaca | 10 | 10 | 4 |
| Barron | 10 | 10 | 4 |
| Taylor | 10 | 10 | 4 |
| Florence | 9 | 9 | 3 |
| Pepin | 9 | 9 | 3 |
| Brown | 9 | 9 | 3 |
| Bayfield | 9 | 9 | 3 |
| Sawyer | 9 | 9 | 3 |
| Dane | 9 | 9 | 3 |
| Polk | 8 | 8 | 3 |
| Rusk | 8 | 8 | 3 |
| Juneau | 8 | 8 | 3 |
| Jackson | 8 | 8 | 3 |
| Columbia | 8 | 8 | 3 |
| Racine | 8 | 8 | 3 |
| Vilas | 8 | 8 | 3 |
| Marinette | 7 | 7 | 2 |
| Vernon | 7 | 7 | 2 |
| Marathon | 7 | 7 | 2 |
| Iowa | 7 | 7 | 2 |
| Jefferson | 7 | 7 | 2 |
| Iron | 7 | 7 | 2 |
| Richland | 7 | 7 | 2 |
| Outagamie | 7 | 7 | 2 |
| Sheboygan | 7 | 7 | 2 |
| Douglas | 6 | 6 | 2 |
| Chippewa | 6 | 6 | 2 |
| Winnebago | 3 | 3 | 1 |
| All districts (72) | 2,198 | 2,198 | 769 |
The Clothing Retail stores database includes 2,198+ verified Clothing Retail stores in Wisconsin, 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.
Robin (US) bought 1 day ago · Lexi (US) bought 1 day ago · Darwin (US) bought 1 day ago · Aayushi (US) bought 1 day ago · Justine (IN) bought 1 day ago
There are roughly 2,198+ Clothing Retail stores in Wisconsin, 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 Retail stores CSV covering all of Wisconsin, United States within seconds. Every row is human-checked.
The CSV ships with one row per Clothing Retail location, columns covering Clothing Retail 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 Clothing 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 Wisconsin, United States footprint, not last year's.
Yes. The Clothing 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 Clothing 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 Clothing Retail 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 Wisconsin, United States consolidates 2,198+ 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 18, 2026 05:45 AM
Published:
May 11, 2026 04:25 AM
Rows (Regular):
1,099
Rows (Extended):
2,198
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
