Data2Sales AI
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This dataset covers 24,273 verified records spread across 67+ districts in Pennsylvania. 24,273 records carry a verified phone number and 8,496 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Schuylkill (5,068 listings), Wyoming (2,534 listings), McKean (1,689 listings), Dauphin (1,267 listings), Cumberland (1,014 listings), Jefferson (845 listings), Lycoming (724 listings), and Clarion (634 listings).
Additional coverage spans Delaware (563), Mifflin (507), Clinton (461), Warren (422), Lancaster (390), Chester (362), Fulton (338), Tioga (317), Erie (298), Indiana (282), Fayette (267), Monroe (253) , plus 47 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Schuylkill | 5,068 | 5,068 | 1,774 |
| Wyoming | 2,534 | 2,534 | 887 |
| McKean | 1,689 | 1,689 | 591 |
| Dauphin | 1,267 | 1,267 | 443 |
| Cumberland | 1,014 | 1,014 | 355 |
| Jefferson | 845 | 845 | 296 |
| Lycoming | 724 | 724 | 253 |
| Clarion | 634 | 634 | 222 |
| Delaware | 563 | 563 | 197 |
| Mifflin | 507 | 507 | 177 |
| All districts (67) | 24,273 | 24,273 | 8,496 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Schuylkill | 5,068 | 5,068 | 1,774 |
| Wyoming | 2,534 | 2,534 | 887 |
| McKean | 1,689 | 1,689 | 591 |
| Dauphin | 1,267 | 1,267 | 443 |
| Cumberland | 1,014 | 1,014 | 355 |
| Jefferson | 845 | 845 | 296 |
| Lycoming | 724 | 724 | 253 |
| Clarion | 634 | 634 | 222 |
| Delaware | 563 | 563 | 197 |
| Mifflin | 507 | 507 | 177 |
| Clinton | 461 | 461 | 161 |
| Warren | 422 | 422 | 148 |
| Lancaster | 390 | 390 | 137 |
| Chester | 362 | 362 | 127 |
| Fulton | 338 | 338 | 118 |
| Tioga | 317 | 317 | 111 |
| Erie | 298 | 298 | 104 |
| Indiana | 282 | 282 | 99 |
| Fayette | 267 | 267 | 93 |
| Monroe | 253 | 253 | 89 |
| Lehigh | 241 | 241 | 84 |
| Lackawanna | 230 | 230 | 81 |
| Montgomery | 220 | 220 | 77 |
| Carbon | 211 | 211 | 74 |
| Adams | 203 | 203 | 71 |
| Allegheny | 195 | 195 | 68 |
| Crawford | 188 | 188 | 66 |
| Venango | 181 | 181 | 63 |
| York | 175 | 175 | 61 |
| Wayne | 169 | 169 | 59 |
| Westmoreland | 163 | 163 | 57 |
| Mercer | 158 | 158 | 55 |
| Pike | 154 | 154 | 54 |
| Clearfield | 149 | 149 | 52 |
| Luzerne | 145 | 145 | 51 |
| Philadelphia | 141 | 141 | 49 |
| Susquehanna | 137 | 137 | 48 |
| Bedford | 133 | 133 | 47 |
| Bucks | 130 | 130 | 46 |
| Armstrong | 127 | 127 | 44 |
| Bradford | 124 | 124 | 43 |
| Huntingdon | 121 | 121 | 42 |
| Juniata | 118 | 118 | 41 |
| Northampton | 115 | 115 | 40 |
| Greene | 113 | 113 | 40 |
| Sullivan | 110 | 110 | 39 |
| Forest | 108 | 108 | 38 |
| Potter | 106 | 106 | 37 |
| Somerset | 103 | 103 | 36 |
| Columbia | 101 | 101 | 35 |
| Cameron | 99 | 99 | 35 |
| Perry | 97 | 97 | 34 |
| Centre | 96 | 96 | 34 |
| Butler | 94 | 94 | 33 |
| Union | 92 | 92 | 32 |
| Montour | 91 | 91 | 32 |
| Lebanon | 89 | 89 | 31 |
| Northumberland | 87 | 87 | 30 |
| Beaver | 86 | 86 | 30 |
| Lawrence | 84 | 84 | 29 |
| Berks | 83 | 83 | 29 |
| Washington | 82 | 82 | 29 |
| Snyder | 80 | 80 | 28 |
| Cambria | 79 | 79 | 28 |
| Elk | 78 | 78 | 27 |
| Franklin | 77 | 77 | 27 |
| Blair | 75 | 75 | 26 |
| All districts (67) | 24,273 | 24,273 | 8,496 |
The KFC restaurants database includes 24,273+ verified KFC restaurants 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.
Chand (US) bought 3 weeks ago · Darlene (US) bought 3 weeks ago · Vidal (IN) bought 3 weeks ago · Hollie (US) bought 3 weeks ago · Dashawn (AU) bought 3 weeks ago
Counting only operational sites, the KFC footprint in Pennsylvania, United States sits at about 24,273+ restaurants 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 KFC restaurants CSV covering all of Pennsylvania, United States within seconds. Every row is human-checked.
Per-row columns include KFC store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and the surrounding context fields (website, opening hours, Google rating, review count). Delivered as a CRM-ready UTF-8 CSV.
Each KFC row goes through phone validation, address cross-check against Google Maps and a check against the official KFC Pennsylvania, United States locator. Records that fail any of those drop before you ever see them.
Yes. The KFC restaurants 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 KFC 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 KFC restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Data2Sales AI's Restaurants & Food Services database for Pennsylvania, United States consolidates 24,273+ 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:
Jul 08, 2026 13:38 PM
Published:
May 28, 2026 19:54 PM
Rows (Regular):
10,923
Rows (Extended):
24,273
Category:
source:
location_reportTags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.