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This dataset covers 191 verified records spread across 72+ districts in Wisconsin. 191 records carry a verified phone number and 67 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Sawyer (39 listings), Burnett (20 listings), Eau Claire (13 listings), Lincoln (10 listings), Ozaukee (8 listings), Bayfield (7 listings), Trempealeau (6 listings), and Washington (5 listings).
Additional coverage spans La Crosse (4), Florence (4), Kenosha (4), Taylor (3), Barron (3), Green Lake (3), Lafayette (3), Pepin (2), Menominee (2), Manitowoc (2), Forest (2), Brown (2) , plus 52 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Sawyer | 39 | 39 | 14 |
| Burnett | 20 | 20 | 7 |
| Eau Claire | 13 | 13 | 5 |
| Lincoln | 10 | 10 | 4 |
| Ozaukee | 8 | 8 | 3 |
| Bayfield | 7 | 7 | 2 |
| Trempealeau | 6 | 6 | 2 |
| Washington | 5 | 5 | 2 |
| La Crosse | 4 | 4 | 1 |
| Florence | 4 | 4 | 1 |
| All districts (72) | 191 | 191 | 67 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Sawyer | 39 | 39 | 14 |
| Burnett | 20 | 20 | 7 |
| Eau Claire | 13 | 13 | 5 |
| Lincoln | 10 | 10 | 4 |
| Ozaukee | 8 | 8 | 3 |
| Bayfield | 7 | 7 | 2 |
| Trempealeau | 6 | 6 | 2 |
| Washington | 5 | 5 | 2 |
| La Crosse | 4 | 4 | 1 |
| Florence | 4 | 4 | 1 |
| Kenosha | 4 | 4 | 1 |
| Taylor | 3 | 3 | 1 |
| Barron | 3 | 3 | 1 |
| Green Lake | 3 | 3 | 1 |
| Lafayette | 3 | 3 | 1 |
| Pepin | 2 | 2 | 1 |
| Menominee | 2 | 2 | 1 |
| Manitowoc | 2 | 2 | 1 |
| Forest | 2 | 2 | 1 |
| Brown | 2 | 2 | 1 |
| Calumet | 2 | 2 | 1 |
| Door | 2 | 2 | 1 |
| Chippewa | 2 | 2 | 1 |
| Shawano | 2 | 2 | 1 |
| Sauk | 2 | 2 | 1 |
| Vilas | 2 | 2 | 1 |
| Richland | 1 | 1 | 0 |
| Buffalo | 1 | 1 | 0 |
| Dunn | 1 | 1 | 0 |
| Portage | 1 | 1 | 0 |
| Columbia | 1 | 1 | 0 |
| Vernon | 1 | 1 | 0 |
| Marathon | 1 | 1 | 0 |
| Marquette | 1 | 1 | 0 |
| Racine | 1 | 1 | 0 |
| Juneau | 1 | 1 | 0 |
| St. Croix | 1 | 1 | 0 |
| Walworth | 1 | 1 | 0 |
| Green | 1 | 1 | 0 |
| Jackson | 1 | 1 | 0 |
| Oneida | 1 | 1 | 0 |
| Jefferson | 1 | 1 | 0 |
| Marinette | 1 | 1 | 0 |
| Pierce | 1 | 1 | 0 |
| Price | 1 | 1 | 0 |
| Grant | 1 | 1 | 0 |
| Crawford | 1 | 1 | 0 |
| Outagamie | 1 | 1 | 0 |
| Rusk | 1 | 1 | 0 |
| Douglas | 1 | 1 | 0 |
| Clark | 1 | 1 | 0 |
| Langlade | 1 | 1 | 0 |
| Oconto | 1 | 1 | 0 |
| Iron | 1 | 1 | 0 |
| Winnebago | 1 | 1 | 0 |
| Iowa | 1 | 1 | 0 |
| Sheboygan | 1 | 1 | 0 |
| Waupaca | 1 | 1 | 0 |
| Dodge | 1 | 1 | 0 |
| Ashland | 1 | 1 | 0 |
| Polk | 1 | 1 | 0 |
| Adams | 1 | 1 | 0 |
| Dane | 1 | 1 | 0 |
| Milwaukee | 1 | 1 | 0 |
| Fond du Lac | 1 | 1 | 0 |
| Kewaunee | 1 | 1 | 0 |
| Washburn | 1 | 1 | 0 |
| Monroe | 1 | 1 | 0 |
| Waukesha | 1 | 1 | 0 |
| Wood | 1 | 1 | 0 |
| Waushara | 1 | 1 | 0 |
| Rock | 1 | 1 | 0 |
| All districts (72) | 191 | 191 | 67 |
The Book stores database includes 191+ verified Book 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.
Alice (US) bought 1 day ago · Ross (US) bought 1 day ago · Heidi (IN) bought 1 day ago · Hilton (US) bought 1 day ago · Patricia (AU) bought 2 days ago
Counting only operational sites, the Book footprint in Wisconsin, United States sits at about 191+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
Data2Sales AI hosts the most up-to-date Book stores list for Wisconsin, United States; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Every record in the Book stores dataset includes: Book 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.
Every Book location is cross-referenced across the Book store locator, Google Maps and licensed business directories before it ships. Closed storefronts, disconnected phones and duplicate listings are stripped on every monthly refresh, so the CSV you download reflects the live Book footprint in Wisconsin, United States.
Yes. The Book 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 Book 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 Book 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 191+ verified records operating in Wisconsin, 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 03, 2026 08:52 AM
Published:
May 11, 2026 04:25 AM
Rows (Extended):
191
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
