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This dataset covers 431 verified records spread across 72+ districts in Wisconsin. 431 records carry a verified phone number and 151 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Lincoln (89 listings), Burnett (44 listings), Ozaukee (30 listings), Menominee (22 listings), Lafayette (18 listings), Walworth (15 listings), Sawyer (13 listings), and Taylor (11 listings).
Additional coverage spans Barron (10), Clark (9), Manitowoc (8), Kenosha (7), Green (7), Crawford (6), Forest (6), Grant (6), Calumet (5), La Crosse (5), Price (5), Fond du Lac (4) , plus 52 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Lincoln | 89 | 89 | 31 |
| Burnett | 44 | 44 | 15 |
| Ozaukee | 30 | 30 | 11 |
| Menominee | 22 | 22 | 8 |
| Lafayette | 18 | 18 | 6 |
| Walworth | 15 | 15 | 5 |
| Sawyer | 13 | 13 | 5 |
| Taylor | 11 | 11 | 4 |
| Barron | 10 | 10 | 4 |
| Clark | 9 | 9 | 3 |
| All districts (72) | 431 | 431 | 151 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Lincoln | 89 | 89 | 31 |
| Burnett | 44 | 44 | 15 |
| Ozaukee | 30 | 30 | 11 |
| Menominee | 22 | 22 | 8 |
| Lafayette | 18 | 18 | 6 |
| Walworth | 15 | 15 | 5 |
| Sawyer | 13 | 13 | 5 |
| Taylor | 11 | 11 | 4 |
| Barron | 10 | 10 | 4 |
| Clark | 9 | 9 | 3 |
| Manitowoc | 8 | 8 | 3 |
| Kenosha | 7 | 7 | 2 |
| Green | 7 | 7 | 2 |
| Crawford | 6 | 6 | 2 |
| Forest | 6 | 6 | 2 |
| Grant | 6 | 6 | 2 |
| Calumet | 5 | 5 | 2 |
| La Crosse | 5 | 5 | 2 |
| Price | 5 | 5 | 2 |
| Fond du Lac | 4 | 4 | 1 |
| Langlade | 4 | 4 | 1 |
| Marquette | 4 | 4 | 1 |
| Eau Claire | 4 | 4 | 1 |
| Shawano | 4 | 4 | 1 |
| Washington | 4 | 4 | 1 |
| Washburn | 3 | 3 | 1 |
| Kewaunee | 3 | 3 | 1 |
| St. Croix | 3 | 3 | 1 |
| Green Lake | 3 | 3 | 1 |
| Buffalo | 3 | 3 | 1 |
| Dodge | 3 | 3 | 1 |
| Portage | 3 | 3 | 1 |
| Racine | 3 | 3 | 1 |
| Door | 3 | 3 | 1 |
| Vernon | 3 | 3 | 1 |
| Dunn | 2 | 2 | 1 |
| Adams | 2 | 2 | 1 |
| Waushara | 2 | 2 | 1 |
| Waukesha | 2 | 2 | 1 |
| Sauk | 2 | 2 | 1 |
| Juneau | 2 | 2 | 1 |
| Oneida | 2 | 2 | 1 |
| Bayfield | 2 | 2 | 1 |
| Pepin | 2 | 2 | 1 |
| Outagamie | 2 | 2 | 1 |
| Jackson | 2 | 2 | 1 |
| Rusk | 2 | 2 | 1 |
| Florence | 2 | 2 | 1 |
| Sheboygan | 2 | 2 | 1 |
| Winnebago | 2 | 2 | 1 |
| Iron | 2 | 2 | 1 |
| Pierce | 2 | 2 | 1 |
| Brown | 2 | 2 | 1 |
| Iowa | 2 | 2 | 1 |
| Douglas | 2 | 2 | 1 |
| Oconto | 2 | 2 | 1 |
| Jefferson | 2 | 2 | 1 |
| Marinette | 2 | 2 | 1 |
| Waupaca | 2 | 2 | 1 |
| Chippewa | 1 | 1 | 0 |
| Ashland | 1 | 1 | 0 |
| Monroe | 1 | 1 | 0 |
| Rock | 1 | 1 | 0 |
| Richland | 1 | 1 | 0 |
| Wood | 1 | 1 | 0 |
| Marathon | 1 | 1 | 0 |
| Columbia | 1 | 1 | 0 |
| Trempealeau | 1 | 1 | 0 |
| Vilas | 1 | 1 | 0 |
| Milwaukee | 1 | 1 | 0 |
| Polk | 1 | 1 | 0 |
| Dane | 1 | 1 | 0 |
| All districts (72) | 431 | 431 | 151 |
The Shoe stores database includes 431+ verified Shoe 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.
Stan (US) bought 4 hours ago · Norris (AU) bought 2 days ago · Emmanuelle (GB) bought 3 days ago · Jovani (AU) bought 4 days ago · Sophie (US) bought 5 days ago
Shoe currently operates 431+ stores in Wisconsin, United States (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
This page IS the download point. The Shoe stores CSV for Wisconsin, United States ships immediately after payment and includes all verified store-level fields.
The CSV ships with one row per Shoe location, columns covering Shoe 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 Shoe 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 Shoe 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 Shoe 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 Shoe 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 Wisconsin, United States is a 431+ 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 16, 2026 05:45 AM
Published:
May 11, 2026 04:25 AM
Rows (Extended):
431
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
