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Motel Database of Wisconsin Latest August 2026 Updated

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Motel Database of Wisconsin Latest August 2026 Updated 4.6 ★★★★★ ★★★★★ Verified buyers
Updated: Aug 09, 2026

🌐 Motel Database of Wisconsin Latest August 2026 Updated

Unlock actionable insights and supercharge your sales pipeline. Download this verified, analysis-ready dataset today.

Rows (Extended)290
Sales2
Views21
CountryUnited States
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Coverage across Wisconsin

This dataset covers 290 verified records spread across 72+ districts in Wisconsin. 290 records carry a verified phone number and 102 include a business website — directly usable for outreach, segmentation, and CRM import.

The highest-density districts are Vilas (60 listings), Forest (30 listings), Jackson (20 listings), Waushara (15 listings), Waukesha (12 listings), St. Croix (10 listings), Barron (9 listings), and Taylor (7 listings).

Additional coverage spans Douglas (7), Kewaunee (6), Washburn (5), Sawyer (5), Marquette (5), Waupaca (4), Juneau (4), La Crosse (4), Crawford (4), Ashland (3), Vernon (3), Langlade (3) , plus 52 more districts.

Coverage in Wisconsin — by district

Total rows:290 With mobile:290 With website:102
Districts Total With mobile With website
Vilas 60 60 21
Forest 30 30 11
Jackson 20 20 7
Waushara 15 15 5
Waukesha 12 12 4
St. Croix 10 10 4
Barron 9 9 3
Taylor 7 7 2
Douglas 7 7 2
Kewaunee 6 6 2
All districts (72) 290 290 102

Coverage in Wisconsin — all 72 districts

Districts Total With mobile With website
Vilas 60 60 21
Forest 30 30 11
Jackson 20 20 7
Waushara 15 15 5
Waukesha 12 12 4
St. Croix 10 10 4
Barron 9 9 3
Taylor 7 7 2
Douglas 7 7 2
Kewaunee 6 6 2
Washburn 5 5 2
Sawyer 5 5 2
Marquette 5 5 2
Waupaca 4 4 1
Juneau 4 4 1
La Crosse 4 4 1
Crawford 4 4 1
Ashland 3 3 1
Vernon 3 3 1
Langlade 3 3 1
Racine 3 3 1
Trempealeau 3 3 1
Dunn 3 3 1
Manitowoc 2 2 1
Sauk 2 2 1
Walworth 2 2 1
Brown 2 2 1
Lafayette 2 2 1
Door 2 2 1
Pepin 2 2 1
Menominee 2 2 1
Ozaukee 2 2 1
Marathon 2 2 1
Lincoln 2 2 1
Burnett 2 2 1
Oconto 2 2 1
Adams 2 2 1
Milwaukee 2 2 1
Iron 2 2 1
Iowa 1 1 0
Columbia 1 1 0
Dodge 1 1 0
Kenosha 1 1 0
Rusk 1 1 0
Chippewa 1 1 0
Pierce 1 1 0
Richland 1 1 0
Fond du Lac 1 1 0
Calumet 1 1 0
Oneida 1 1 0
Jefferson 1 1 0
Marinette 1 1 0
Rock 1 1 0
Price 1 1 0
Shawano 1 1 0
Grant 1 1 0
Wood 1 1 0
Green 1 1 0
Buffalo 1 1 0
Bayfield 1 1 0
Portage 1 1 0
Washington 1 1 0
Winnebago 1 1 0
Clark 1 1 0
Sheboygan 1 1 0
Monroe 1 1 0
Green Lake 1 1 0
Dane 1 1 0
Polk 1 1 0
Florence 1 1 0
Eau Claire 1 1 0
Outagamie 1 1 0
All districts (72) 290 290 102

Related coverage — same industry Drill up for wider coverage

14,997+ rows $387.60 $219.60 −43% OFF

Motels Database — United States

The Motels database for Wisconsin, United States includes 290+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.

How to use this data

  • Inbound enrichment — match form fills against the motels list to enrich Wisconsin, United States leads instantly.
  • Market research — benchmark motels density, pricing and review sentiment across Wisconsin, United States.
  • Retention monitoring — flag motels accounts in Wisconsin, United States that have moved or closed since last contact.

Frequently asked about this dataset

How many businesses are in the Motels database for Wisconsin, United States?

The Motels database for Wisconsin, United States contains 290+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.

Where can I download a Motels database for Wisconsin, United States?

The complete Motels database for Wisconsin, United States is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.

What fields are included in the Motels dataset?

Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.

How accurate is the Motels data for Wisconsin, United States?

Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live motels footprint in Wisconsin, United States.

Is the Motels dataset updated regularly?

Yes. The Motels dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.

Can I use the Motels data for marketing and outreach?

Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.

What format do I receive the Motels database in?

You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.

How quickly can I download the dataset after purchase?

Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.

About the Motels Database in Wisconsin, United States

Data2Sales AI's World Wide Data database for Wisconsin, United States consolidates 290+ 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.

License Option
Licenses terms
Accuracy 95–98% Instant download Refreshed monthly CSV / Excel

Last Update:

Aug 09, 2026 02:32 AM

Published:

May 11, 2026 04:24 AM

Rows (Extended):

290

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