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This dataset covers 931 verified records spread across 67+ districts in Pennsylvania. 931 records carry a verified phone number and 326 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Cameron (194 listings), Potter (97 listings), Perry (65 listings), Greene (49 listings), Forest (39 listings), Delaware (32 listings), Juniata (28 listings), and Lycoming (24 listings).
Additional coverage spans Bucks (22), Bedford (19), Washington (18), Luzerne (16), Armstrong (15), Blair (14), Huntingdon (13), Crawford (12), Snyder (11), Cambria (11), Beaver (10), Berks (10) , plus 47 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Cameron | 194 | 194 | 68 |
| Potter | 97 | 97 | 34 |
| Perry | 65 | 65 | 23 |
| Greene | 49 | 49 | 17 |
| Forest | 39 | 39 | 14 |
| Delaware | 32 | 32 | 11 |
| Juniata | 28 | 28 | 10 |
| Lycoming | 24 | 24 | 8 |
| Bucks | 22 | 22 | 8 |
| Bedford | 19 | 19 | 7 |
| All districts (67) | 931 | 931 | 326 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Cameron | 194 | 194 | 68 |
| Potter | 97 | 97 | 34 |
| Perry | 65 | 65 | 23 |
| Greene | 49 | 49 | 17 |
| Forest | 39 | 39 | 14 |
| Delaware | 32 | 32 | 11 |
| Juniata | 28 | 28 | 10 |
| Lycoming | 24 | 24 | 8 |
| Bucks | 22 | 22 | 8 |
| Bedford | 19 | 19 | 7 |
| Washington | 18 | 18 | 6 |
| Luzerne | 16 | 16 | 6 |
| Armstrong | 15 | 15 | 5 |
| Blair | 14 | 14 | 5 |
| Huntingdon | 13 | 13 | 5 |
| Crawford | 12 | 12 | 4 |
| Snyder | 11 | 11 | 4 |
| Cambria | 11 | 11 | 4 |
| Beaver | 10 | 10 | 4 |
| Berks | 10 | 10 | 4 |
| Montour | 9 | 9 | 3 |
| Lebanon | 9 | 9 | 3 |
| Westmoreland | 8 | 8 | 3 |
| Northumberland | 8 | 8 | 3 |
| Centre | 8 | 8 | 3 |
| Butler | 7 | 7 | 2 |
| Union | 7 | 7 | 2 |
| Indiana | 7 | 7 | 2 |
| Fulton | 7 | 7 | 2 |
| Elk | 6 | 6 | 2 |
| Montgomery | 6 | 6 | 2 |
| Philadelphia | 6 | 6 | 2 |
| Tioga | 6 | 6 | 2 |
| Columbia | 6 | 6 | 2 |
| Somerset | 6 | 6 | 2 |
| Chester | 5 | 5 | 2 |
| Warren | 5 | 5 | 2 |
| Sullivan | 5 | 5 | 2 |
| Lackawanna | 5 | 5 | 2 |
| Mifflin | 5 | 5 | 2 |
| Clinton | 5 | 5 | 2 |
| Clarion | 5 | 5 | 2 |
| Bradford | 5 | 5 | 2 |
| York | 5 | 5 | 2 |
| Clearfield | 4 | 4 | 1 |
| Dauphin | 4 | 4 | 1 |
| Wyoming | 4 | 4 | 1 |
| McKean | 4 | 4 | 1 |
| Erie | 4 | 4 | 1 |
| Allegheny | 4 | 4 | 1 |
| Susquehanna | 4 | 4 | 1 |
| Jefferson | 4 | 4 | 1 |
| Cumberland | 4 | 4 | 1 |
| Venango | 4 | 4 | 1 |
| Wayne | 4 | 4 | 1 |
| Mercer | 4 | 4 | 1 |
| Schuylkill | 3 | 3 | 1 |
| Franklin | 3 | 3 | 1 |
| Adams | 3 | 3 | 1 |
| Lawrence | 3 | 3 | 1 |
| Carbon | 3 | 3 | 1 |
| Northampton | 3 | 3 | 1 |
| Lancaster | 3 | 3 | 1 |
| Monroe | 3 | 3 | 1 |
| Pike | 3 | 3 | 1 |
| Fayette | 3 | 3 | 1 |
| Lehigh | 3 | 3 | 1 |
| All districts (67) | 931 | 931 | 326 |
The Shoe stores database includes 931+ verified Shoe stores in Pennsylvania, 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.
Leon (US) bought 18 hours ago · James (US) bought 1 day ago · Cleo (AU) bought 2 days ago · Misty (US) bought 3 days ago · Komal (GB) bought 4 days ago
Counting only operational sites, the Shoe footprint in Pennsylvania, United States sits at about 931+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
This page IS the download point. The Shoe stores CSV for Pennsylvania, United States ships immediately after payment and includes all verified store-level fields.
Every record in the Shoe stores dataset includes: Shoe store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
We verify each Shoe 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 Pennsylvania, United States footprint, not last year's.
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 931+ verified records operating in Pennsylvania, 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 16, 2026 05:45 AM
Published:
May 11, 2026 04:08 AM
Rows (Extended):
931
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
