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This dataset covers 5,610 records spread across 200 states in United States, ready for outreach, segmentation and CRM import.
The largest states by record count are Minneapolis (953), New York (535), Menomonee Falls (442), Plano (427), Cincinnati (304), Wayne (224), Framingham (221), and Dallas (218).
Additional coverage spans Grand Rapids (184), Green Bay (165), Charlotte (158), Bentonville (153), Matthews (135), Reading (99), Hoffman Estates (93), Bradenton (90), Little Rock (84), Toronto (78), Mooresville (69), Parsippany (65) , plus 180 more states.
| States | Total | With mobile | With website |
|---|---|---|---|
| Minneapolis | 953 | 953 | 953 |
| New York | 535 | 535 | 535 |
| Menomonee Falls | 442 | 442 | 442 |
| Plano | 427 | 427 | 427 |
| Cincinnati | 304 | 304 | 304 |
| Wayne | 224 | 224 | 224 |
| Framingham | 221 | 221 | 221 |
| Dallas | 218 | 218 | 218 |
| Grand Rapids | 184 | 184 | 184 |
| Green Bay | 165 | 165 | 165 |
| Charlotte | 158 | 158 | 158 |
| Bentonville | 153 | 153 | 153 |
| Matthews | 135 | 135 | 135 |
| Reading | 99 | 99 | 99 |
| Hoffman Estates | 93 | 93 | 93 |
| Bradenton | 90 | 90 | 90 |
| Little Rock | 84 | 84 | 84 |
| Toronto | 78 | 78 | 78 |
| Mooresville | 69 | 69 | 69 |
| Parsippany | 65 | 65 | 65 |
| San Francisco | 49 | 49 | 49 |
| Seattle | 46 | 46 | 46 |
| Columbus | 44 | 44 | 44 |
| York | 29 | 29 | 29 |
| Shreveport | 28 | 28 | 28 |
| Davenport | 22 | 22 | 22 |
| Omaha | 21 | 21 | 21 |
| Hicksville | 21 | 21 | 21 |
| Salt Lake City | 18 | 18 | 18 |
| Bellevue | 14 | 14 | 14 |
| Brooklyn | 14 | 14 | 14 |
| Fort Lauderdale | 13 | 13 | 13 |
| Atlanta | 11 | 11 | 11 |
| Moraine | 11 | 11 | 11 |
| Milwaukee | 9 | 9 | 9 |
| Galveston | 8 | 8 | 8 |
| Charlestown | 7 | 7 | 7 |
| Long Beach | 7 | 7 | 7 |
| Allentown | 7 | 7 | 7 |
| Miami | 6 | 6 | 6 |
| Mississauga | 6 | 6 | 6 |
| Springfield | 6 | 6 | 6 |
| Yeadon | 5 | 5 | 5 |
| Orlando | 5 | 5 | 5 |
| Checotah | 5 | 5 | 5 |
| Branford | 5 | 5 | 5 |
| Hingham | 5 | 5 | 5 |
| Anniston | 4 | 4 | 4 |
| Olney | 4 | 4 | 4 |
| Newport Beach | 4 | 4 | 4 |
| Glencoe | 4 | 4 | 4 |
| Evansville | 4 | 4 | 4 |
| Newark | 4 | 4 | 4 |
| Tampa | 4 | 4 | 4 |
| Albany | 3 | 3 | 3 |
| Ocala | 3 | 3 | 3 |
| Fort Myers | 3 | 3 | 3 |
| Lafayette | 3 | 3 | 3 |
| Pennsauken | 3 | 3 | 3 |
| Harlan | 3 | 3 | 3 |
| Chicago | 3 | 3 | 3 |
| Stuart | 3 | 3 | 3 |
| Cadillac | 3 | 3 | 3 |
| Rye Brook | 3 | 3 | 3 |
| Flemington | 3 | 3 | 3 |
| Clearwater | 3 | 3 | 3 |
| San Jose | 3 | 3 | 3 |
| Mount Dora | 3 | 3 | 3 |
| Brisbane | 2 | 2 | 2 |
| Sioux Falls | 2 | 2 | 2 |
| Indianapolis | 2 | 2 | 2 |
| Boca Raton | 2 | 2 | 2 |
| Las Vegas | 2 | 2 | 2 |
| Salem | 2 | 2 | 2 |
| Pittsburgh | 2 | 2 | 2 |
| Los Angeles | 2 | 2 | 2 |
| Chesterton | 2 | 2 | 2 |
| Sheboygan | 2 | 2 | 2 |
| Selma | 2 | 2 | 2 |
| Houston | 2 | 2 | 2 |
| Ludlow | 2 | 2 | 2 |
| Mendota Heights | 2 | 2 | 2 |
| Mathews | 2 | 2 | 2 |
| Mission | 2 | 2 | 2 |
| Jupiter | 2 | 2 | 2 |
| Harrisburg | 2 | 2 | 2 |
| Longwood | 2 | 2 | 2 |
| Porter | 2 | 2 | 2 |
| Jacksonville | 2 | 2 | 2 |
| Petersburg | 2 | 2 | 2 |
| Miami Beach | 2 | 2 | 2 |
| Belle Isle | 2 | 2 | 2 |
| Tempe | 2 | 2 | 2 |
| Doral | 2 | 2 | 2 |
| Colorado Springs | 1 | 1 | 1 |
| Concord | 1 | 1 | 1 |
| Vancouver | 1 | 1 | 1 |
| Fitchburg | 1 | 1 | 1 |
| Cheyenne | 1 | 1 | 1 |
| St Petersburg | 1 | 1 | 1 |
| Clarksville | 1 | 1 | 1 |
| Pontiac | 1 | 1 | 1 |
| Elyria | 1 | 1 | 1 |
| Washington | 1 | 1 | 1 |
| Naples | 1 | 1 | 1 |
| Arlington | 1 | 1 | 1 |
| Northbrook | 1 | 1 | 1 |
| Nutley | 1 | 1 | 1 |
| Columbia | 1 | 1 | 1 |
| Plymouth | 1 | 1 | 1 |
| Exton | 1 | 1 | 1 |
| Athens | 1 | 1 | 1 |
| Bolingbrook | 1 | 1 | 1 |
| Salinas | 1 | 1 | 1 |
| North Miami | 1 | 1 | 1 |
| Bloomington | 1 | 1 | 1 |
| Tarpon Springs | 1 | 1 | 1 |
| Bakersfield | 1 | 1 | 1 |
| Santa Monica | 1 | 1 | 1 |
| Marco Island | 1 | 1 | 1 |
| Wilmington | 1 | 1 | 1 |
| Mason | 1 | 1 | 1 |
| Universal City | 1 | 1 | 1 |
| Frisco | 1 | 1 | 1 |
| Austin | 1 | 1 | 1 |
| Cleveland | 1 | 1 | 1 |
| Costa Mesa | 1 | 1 | 1 |
| Humble | 1 | 1 | 1 |
| Boulder Junction | 1 | 1 | 1 |
| Richmond | 1 | 1 | 1 |
| Eugene | 1 | 1 | 1 |
| Lenexa | 1 | 1 | 1 |
| Pleasant Prairie | 1 | 1 | 1 |
| Clinton | 1 | 1 | 1 |
| Hollywood | 1 | 1 | 1 |
| Sun City | 1 | 1 | 1 |
| Shokan | 1 | 1 | 1 |
| Dayton | 1 | 1 | 1 |
| Bethalto | 1 | 1 | 1 |
| Killington | 1 | 1 | 1 |
| Euclid | 1 | 1 | 1 |
| Holland | 1 | 1 | 1 |
| Santa Ana | 1 | 1 | 1 |
| Whitehall | 1 | 1 | 1 |
| Paramus | 1 | 1 | 1 |
| Burnsville | 1 | 1 | 1 |
| Mitchell | 1 | 1 | 1 |
| Burlington | 1 | 1 | 1 |
| Sacramento | 1 | 1 | 1 |
| Pembroke Pines | 1 | 1 | 1 |
| Birmingham | 1 | 1 | 1 |
| Lake Mary | 1 | 1 | 1 |
| Spanish Fork | 1 | 1 | 1 |
| Pemberville | 1 | 1 | 1 |
| Meridian | 1 | 1 | 1 |
| Guntersville | 1 | 1 | 1 |
| Alpharetta | 1 | 1 | 1 |
| Mcallen | 1 | 1 | 1 |
| Battle Creek | 1 | 1 | 1 |
| Totowa | 1 | 1 | 1 |
| Charleston | 1 | 1 | 1 |
| Roanoke | 1 | 1 | 1 |
| Plantation | 1 | 1 | 1 |
| Parkland | 1 | 1 | 1 |
| Sanford | 1 | 1 | 1 |
| Rehoboth Beach | 1 | 1 | 1 |
| Tahlequah | 1 | 1 | 1 |
| Portland | 1 | 1 | 1 |
| Osceola | 1 | 1 | 1 |
| Saint Petersburg | 1 | 1 | 1 |
| Dublin | 1 | 1 | 1 |
| Savannah | 1 | 1 | 1 |
| Orland Park | 1 | 1 | 1 |
| San Antonio | 1 | 1 | 1 |
| Brooksville | 1 | 1 | 1 |
| Carson | 1 | 1 | 1 |
| Stamford | 1 | 1 | 1 |
| Louisville | 1 | 1 | 1 |
| Pensacola | 1 | 1 | 1 |
| Boise | 1 | 1 | 1 |
| South Portland | 1 | 1 | 1 |
| Metairie | 1 | 1 | 1 |
| Enfield | 1 | 1 | 1 |
| Pompano Beach | 1 | 1 | 1 |
| Albemarle | 1 | 1 | 1 |
| Nashville | 1 | 1 | 1 |
| North Judson | 0 | 0 | 0 |
| Salisbury | 0 | 0 | 0 |
| Buford | 0 | 0 | 0 |
| Fort Collins | 0 | 0 | 0 |
| Montgomery | 0 | 0 | 0 |
| Gladwin | 0 | 0 | 0 |
| Manahawkin | 0 | 0 | 0 |
| Fort Gratiot | 0 | 0 | 0 |
| Winter Haven | 0 | 0 | 0 |
| Canal Winchester | 0 | 0 | 0 |
| Madison | 0 | 0 | 0 |
| Colonial Heights | 0 | 0 | 0 |
| Manville | 0 | 0 | 0 |
| Roaring Spring | 0 | 0 | 0 |
| Smaller regions (combined) | 192 | 192 | 192 |
| All states (201) | 5,610 | 5,610 | 5,610 |
The Department stores database includes 5,100+ verified Department stores in 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.
Counting only operational sites, the Department footprint in United States sits at about 5,100+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
The complete Department stores database for United States is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Department location with address, phone, hours, website and GPS coordinates.
The CSV ships with one row per Department location, columns covering Department 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.
Every Department location is cross-referenced across the Department 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 Department footprint in United States.
Yes. The Department 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 Department 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 Department stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to reach department stores decision-makers in United States? This database aggregates 5,100+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
Last Update:
Sep 01, 2026 04:40 AM
Published:
Sep 01, 2026 04:40 AM
Rows (Regular):
2,550
Rows (Extended):
5,100
Country:
United States
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
