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This dataset covers 656 verified records spread across 100+ districts in North Carolina. 656 records carry a verified phone number and 230 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Yancey (126 listings), Tyrrell (63 listings), Cleveland (42 listings), Buncombe (32 listings), Forsyth (25 listings), Vance (21 listings), Ashe (18 listings), and Hertford (16 listings).
Additional coverage spans Montgomery (14), Davidson (13), Johnston (11), Cabarrus (11), Bertie (10), Haywood (9), Union (8), Macon (8), Beaufort (7), Graham (7), Camden (7), Currituck (6) , plus 80 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Yancey | 126 | 126 | 44 |
| Tyrrell | 63 | 63 | 22 |
| Cleveland | 42 | 42 | 15 |
| Buncombe | 32 | 32 | 11 |
| Forsyth | 25 | 25 | 9 |
| Vance | 21 | 21 | 7 |
| Ashe | 18 | 18 | 6 |
| Hertford | 16 | 16 | 6 |
| Montgomery | 14 | 14 | 5 |
| Davidson | 13 | 13 | 5 |
| All districts (100) | 656 | 656 | 230 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Yancey | 126 | 126 | 44 |
| Tyrrell | 63 | 63 | 22 |
| Cleveland | 42 | 42 | 15 |
| Buncombe | 32 | 32 | 11 |
| Forsyth | 25 | 25 | 9 |
| Vance | 21 | 21 | 7 |
| Ashe | 18 | 18 | 6 |
| Hertford | 16 | 16 | 6 |
| Montgomery | 14 | 14 | 5 |
| Davidson | 13 | 13 | 5 |
| Johnston | 11 | 11 | 4 |
| Cabarrus | 11 | 11 | 4 |
| Bertie | 10 | 10 | 4 |
| Haywood | 9 | 9 | 3 |
| Union | 8 | 8 | 3 |
| Macon | 8 | 8 | 3 |
| Beaufort | 7 | 7 | 2 |
| Graham | 7 | 7 | 2 |
| Camden | 7 | 7 | 2 |
| Currituck | 6 | 6 | 2 |
| Greene | 6 | 6 | 2 |
| Lee | 6 | 6 | 2 |
| Craven | 5 | 5 | 2 |
| Caswell | 5 | 5 | 2 |
| Pender | 5 | 5 | 2 |
| Durham | 5 | 5 | 2 |
| Bladen | 5 | 5 | 2 |
| Wilkes | 5 | 5 | 2 |
| Yadkin | 4 | 4 | 1 |
| Hoke | 4 | 4 | 1 |
| Wake | 4 | 4 | 1 |
| Surry | 4 | 4 | 1 |
| Randolph | 4 | 4 | 1 |
| Alexander | 4 | 4 | 1 |
| Cumberland | 4 | 4 | 1 |
| Stokes | 4 | 4 | 1 |
| Pamlico | 3 | 3 | 1 |
| Avery | 3 | 3 | 1 |
| Scotland | 3 | 3 | 1 |
| Richmond | 3 | 3 | 1 |
| Polk | 3 | 3 | 1 |
| Jackson | 3 | 3 | 1 |
| Clay | 3 | 3 | 1 |
| Catawba | 3 | 3 | 1 |
| Granville | 3 | 3 | 1 |
| Pitt | 3 | 3 | 1 |
| Northampton | 3 | 3 | 1 |
| Orange | 3 | 3 | 1 |
| Stanly | 3 | 3 | 1 |
| Henderson | 3 | 3 | 1 |
| Gaston | 3 | 3 | 1 |
| Lenoir | 2 | 2 | 1 |
| Dare | 2 | 2 | 1 |
| Watauga | 2 | 2 | 1 |
| New Hanover | 2 | 2 | 1 |
| Wayne | 2 | 2 | 1 |
| Guilford | 2 | 2 | 1 |
| Burke | 2 | 2 | 1 |
| Nash | 2 | 2 | 1 |
| Alleghany | 2 | 2 | 1 |
| Mitchell | 2 | 2 | 1 |
| Chatham | 2 | 2 | 1 |
| Person | 2 | 2 | 1 |
| Rowan | 2 | 2 | 1 |
| Carteret | 2 | 2 | 1 |
| Washington | 2 | 2 | 1 |
| Madison | 2 | 2 | 1 |
| Anson | 2 | 2 | 1 |
| Moore | 2 | 2 | 1 |
| Martin | 2 | 2 | 1 |
| Franklin | 2 | 2 | 1 |
| Sampson | 2 | 2 | 1 |
| Duplin | 2 | 2 | 1 |
| Warren | 2 | 2 | 1 |
| Brunswick | 2 | 2 | 1 |
| Mecklenburg | 2 | 2 | 1 |
| Cherokee | 2 | 2 | 1 |
| Halifax | 2 | 2 | 1 |
| Wilson | 2 | 2 | 1 |
| Alamance | 2 | 2 | 1 |
| Harnett | 2 | 2 | 1 |
| Robeson | 2 | 2 | 1 |
| Pasquotank | 2 | 2 | 1 |
| McDowell | 2 | 2 | 1 |
| Iredell | 2 | 2 | 1 |
| Swain | 1 | 1 | 0 |
| Hyde | 1 | 1 | 0 |
| Caldwell | 1 | 1 | 0 |
| Rutherford | 1 | 1 | 0 |
| Transylvania | 1 | 1 | 0 |
| Rockingham | 1 | 1 | 0 |
| Gates | 1 | 1 | 0 |
| Perquimans | 1 | 1 | 0 |
| Onslow | 1 | 1 | 0 |
| Jones | 1 | 1 | 0 |
| Chowan | 1 | 1 | 0 |
| Edgecombe | 1 | 1 | 0 |
| Columbus | 1 | 1 | 0 |
| Davie | 1 | 1 | 0 |
| Lincoln | 1 | 1 | 0 |
| All districts (100) | 656 | 656 | 230 |
The Shoe stores database includes 656+ verified Shoe stores in North Carolina, 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.
Rachel (US) bought 18 hours ago · Karelle (US) bought 5 days ago · Feroz (US) bought 6 days ago · Tony (US) bought 6 days ago · Kartik (AU) bought 1 week ago
There are roughly 656+ Shoe stores in North Carolina, 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 North Carolina, United States; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
The CSV ships with one row per Shoe location, columns covering Shoe 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.
Each Shoe row goes through phone validation, address cross-check against Google Maps and a check against the official Shoe North Carolina, United States locator. Records that fail any of those drop before you ever see them.
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.
Data2Sales AI's World Wide Data database for North Carolina, United States consolidates 656+ 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 09, 2026 05:45 AM
Published:
May 11, 2026 04:01 AM
Rows (Extended):
656
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
