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This dataset covers 198 verified records spread across 93+ districts in Nebraska. 198 records carry a verified phone number and 69 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Lancaster (39 listings), Valley (19 listings), Hooker (13 listings), Sioux (10 listings), Wheeler (8 listings), Butler (6 listings), Nemaha (6 listings), and Hayes (5 listings).
Additional coverage spans Logan (4), Brown (4), Keith (4), Box Butte (3), Nance (3), Franklin (3), Nuckolls (3), Antelope (2), Red Willow (2), Hitchcock (2), Jefferson (2), Cherry (2) , plus 73 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Lancaster | 39 | 39 | 14 |
| Valley | 19 | 19 | 7 |
| Hooker | 13 | 13 | 5 |
| Sioux | 10 | 10 | 4 |
| Wheeler | 8 | 8 | 3 |
| Butler | 6 | 6 | 2 |
| Nemaha | 6 | 6 | 2 |
| Hayes | 5 | 5 | 2 |
| Logan | 4 | 4 | 1 |
| Brown | 4 | 4 | 1 |
| All districts (93) | 198 | 198 | 69 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Lancaster | 39 | 39 | 14 |
| Valley | 19 | 19 | 7 |
| Hooker | 13 | 13 | 5 |
| Sioux | 10 | 10 | 4 |
| Wheeler | 8 | 8 | 3 |
| Butler | 6 | 6 | 2 |
| Nemaha | 6 | 6 | 2 |
| Hayes | 5 | 5 | 2 |
| Logan | 4 | 4 | 1 |
| Brown | 4 | 4 | 1 |
| Keith | 4 | 4 | 1 |
| Box Butte | 3 | 3 | 1 |
| Nance | 3 | 3 | 1 |
| Franklin | 3 | 3 | 1 |
| Nuckolls | 3 | 3 | 1 |
| Antelope | 2 | 2 | 1 |
| Red Willow | 2 | 2 | 1 |
| Hitchcock | 2 | 2 | 1 |
| Jefferson | 2 | 2 | 1 |
| Cherry | 2 | 2 | 1 |
| Garfield | 2 | 2 | 1 |
| Thurston | 2 | 2 | 1 |
| Thayer | 2 | 2 | 1 |
| Lincoln | 2 | 2 | 1 |
| Boyd | 2 | 2 | 1 |
| Pawnee | 1 | 1 | 0 |
| Custer | 1 | 1 | 0 |
| Saunders | 1 | 1 | 0 |
| Knox | 1 | 1 | 0 |
| Seward | 1 | 1 | 0 |
| Sherman | 1 | 1 | 0 |
| Rock | 1 | 1 | 0 |
| Merrick | 1 | 1 | 0 |
| Greeley | 1 | 1 | 0 |
| Stanton | 1 | 1 | 0 |
| Blaine | 1 | 1 | 0 |
| McPherson | 1 | 1 | 0 |
| Polk | 1 | 1 | 0 |
| Hall | 1 | 1 | 0 |
| Cuming | 1 | 1 | 0 |
| Buffalo | 1 | 1 | 0 |
| Clay | 1 | 1 | 0 |
| Loup | 1 | 1 | 0 |
| Harlan | 1 | 1 | 0 |
| Madison | 1 | 1 | 0 |
| Howard | 1 | 1 | 0 |
| Webster | 1 | 1 | 0 |
| Hamilton | 1 | 1 | 0 |
| Phelps | 1 | 1 | 0 |
| Arthur | 1 | 1 | 0 |
| Holt | 1 | 1 | 0 |
| Sheridan | 1 | 1 | 0 |
| Dixon | 1 | 1 | 0 |
| Platte | 1 | 1 | 0 |
| Dakota | 1 | 1 | 0 |
| Douglas | 1 | 1 | 0 |
| Fillmore | 1 | 1 | 0 |
| Frontier | 1 | 1 | 0 |
| Gage | 1 | 1 | 0 |
| Saline | 1 | 1 | 0 |
| Furnas | 1 | 1 | 0 |
| Banner | 1 | 1 | 0 |
| Dawson | 1 | 1 | 0 |
| Washington | 1 | 1 | 0 |
| Kearney | 1 | 1 | 0 |
| Boone | 1 | 1 | 0 |
| Otoe | 1 | 1 | 0 |
| Grant | 1 | 1 | 0 |
| York | 1 | 1 | 0 |
| Johnson | 1 | 1 | 0 |
| Pierce | 1 | 1 | 0 |
| Burt | 1 | 1 | 0 |
| Cheyenne | 1 | 1 | 0 |
| Thomas | 1 | 1 | 0 |
| Richardson | 1 | 1 | 0 |
| Dawes | 1 | 1 | 0 |
| Scotts Bluff | 1 | 1 | 0 |
| Deuel | 1 | 1 | 0 |
| Sarpy | 1 | 1 | 0 |
| Perkins | 1 | 1 | 0 |
| Kimball | 1 | 1 | 0 |
| Chase | 1 | 1 | 0 |
| Dodge | 1 | 1 | 0 |
| Wayne | 1 | 1 | 0 |
| Dundy | 1 | 1 | 0 |
| Morrill | 1 | 1 | 0 |
| Cedar | 1 | 1 | 0 |
| Colfax | 1 | 1 | 0 |
| Adams | 1 | 1 | 0 |
| Keya Paha | 1 | 1 | 0 |
| Cass | 1 | 1 | 0 |
| Garden | 1 | 1 | 0 |
| Gosper | 1 | 1 | 0 |
| All districts (93) | 198 | 198 | 69 |
The Shoe stores database includes 198+ verified Shoe stores in Nebraska, 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.
Elnora (US) bought 1 day ago · Krista (IN) bought 3 days ago · Ardith (US) bought 4 days ago · Dolly (US) bought 6 days ago · Lucas (US) bought 1 week ago
There are roughly 198+ Shoe stores in Nebraska, United States as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Data2Sales AI hosts the most up-to-date Shoe stores list for Nebraska, United States; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Each Shoe record carries the full operational profile: Shoe store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
Triple-source verification: the Shoe store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
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.
This World Wide Data list covers 198+ verified records operating in Nebraska, 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 14, 2026 05:45 AM
Published:
May 11, 2026 03:53 AM
Rows (Extended):
198
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
