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This dataset covers 2,949 verified records spread across 72+ districts in Wisconsin. 2,949 records carry a verified phone number and 1,032 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Milwaukee (607 listings), Oconto (303 listings), Bayfield (202 listings), Florence (152 listings), Pierce (121 listings), Adams (101 listings), Door (87 listings), and Waupaca (76 listings).
Additional coverage spans Ashland (67), Sauk (61), Dodge (55), Oneida (51), Dunn (47), Clark (43), Marinette (40), Jefferson (38), Douglas (36), Chippewa (34), Richland (32), Columbia (30) , plus 52 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Milwaukee | 607 | 607 | 212 |
| Oconto | 303 | 303 | 106 |
| Bayfield | 202 | 202 | 71 |
| Florence | 152 | 152 | 53 |
| Pierce | 121 | 121 | 42 |
| Adams | 101 | 101 | 35 |
| Door | 87 | 87 | 30 |
| Waupaca | 76 | 76 | 27 |
| Ashland | 67 | 67 | 23 |
| Sauk | 61 | 61 | 21 |
| All districts (72) | 2,949 | 2,949 | 1,032 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Milwaukee | 607 | 607 | 212 |
| Oconto | 303 | 303 | 106 |
| Bayfield | 202 | 202 | 71 |
| Florence | 152 | 152 | 53 |
| Pierce | 121 | 121 | 42 |
| Adams | 101 | 101 | 35 |
| Door | 87 | 87 | 30 |
| Waupaca | 76 | 76 | 27 |
| Ashland | 67 | 67 | 23 |
| Sauk | 61 | 61 | 21 |
| Dodge | 55 | 55 | 19 |
| Oneida | 51 | 51 | 18 |
| Dunn | 47 | 47 | 16 |
| Clark | 43 | 43 | 15 |
| Marinette | 40 | 40 | 14 |
| Jefferson | 38 | 38 | 13 |
| Douglas | 36 | 36 | 13 |
| Chippewa | 34 | 34 | 12 |
| Richland | 32 | 32 | 11 |
| Columbia | 30 | 30 | 11 |
| Sheboygan | 29 | 29 | 10 |
| Jackson | 28 | 28 | 10 |
| Monroe | 26 | 26 | 9 |
| Price | 25 | 25 | 9 |
| Marathon | 24 | 24 | 8 |
| Winnebago | 23 | 23 | 8 |
| Grant | 22 | 22 | 8 |
| Trempealeau | 22 | 22 | 8 |
| Green | 21 | 21 | 7 |
| Outagamie | 20 | 20 | 7 |
| Walworth | 20 | 20 | 7 |
| Eau Claire | 19 | 19 | 7 |
| Portage | 18 | 18 | 6 |
| Forest | 18 | 18 | 6 |
| Washington | 17 | 17 | 6 |
| Wood | 17 | 17 | 6 |
| Rock | 16 | 16 | 6 |
| Green Lake | 16 | 16 | 6 |
| Fond du Lac | 16 | 16 | 6 |
| Vilas | 15 | 15 | 5 |
| Crawford | 15 | 15 | 5 |
| Taylor | 14 | 14 | 5 |
| Barron | 14 | 14 | 5 |
| St. Croix | 14 | 14 | 5 |
| Shawano | 13 | 13 | 5 |
| Dane | 13 | 13 | 5 |
| Marquette | 13 | 13 | 5 |
| Polk | 13 | 13 | 5 |
| Langlade | 12 | 12 | 4 |
| Sawyer | 12 | 12 | 4 |
| Buffalo | 12 | 12 | 4 |
| Juneau | 12 | 12 | 4 |
| Rusk | 11 | 11 | 4 |
| Brown | 11 | 11 | 4 |
| La Crosse | 11 | 11 | 4 |
| Vernon | 11 | 11 | 4 |
| Iron | 11 | 11 | 4 |
| Iowa | 10 | 10 | 4 |
| Washburn | 10 | 10 | 4 |
| Racine | 10 | 10 | 4 |
| Kewaunee | 10 | 10 | 4 |
| Calumet | 10 | 10 | 4 |
| Pepin | 10 | 10 | 4 |
| Waushara | 10 | 10 | 4 |
| Burnett | 9 | 9 | 3 |
| Lincoln | 9 | 9 | 3 |
| Ozaukee | 9 | 9 | 3 |
| Manitowoc | 9 | 9 | 3 |
| Waukesha | 9 | 9 | 3 |
| Lafayette | 9 | 9 | 3 |
| Menominee | 9 | 9 | 3 |
| Kenosha | 9 | 9 | 3 |
| All districts (72) | 2,949 | 2,949 | 1,032 |
The Grocery stores database includes 2,949+ verified Grocery 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.
Katherine (US) bought 19 hours ago · Claire (US) bought 21 hours ago · Christian (AU) bought 1 day ago · Jasmin (US) bought 1 day ago · Ford (AU) bought 1 day ago
Counting only operational sites, the Grocery footprint in Wisconsin, United States sits at about 2,949+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Grocery stores CSV covering all of Wisconsin, United States within seconds. Every row is human-checked.
The CSV ships with one row per Grocery location, columns covering Grocery 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 Grocery 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 Grocery 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 Grocery 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 Grocery 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 2,949+ 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 12, 2026 05:45 AM
Published:
May 11, 2026 04:25 AM
Rows (Regular):
1,475
Rows (Extended):
2,949
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
