This dataset covers 493 verified records spread across
67+ districts in Pennsylvania.
493 records carry a verified phone number and
173 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density districts are
Luzerne (103 listings), Bedford (51 listings), Erie (34 listings), Franklin (26 listings), Juniata (21 listings), Tioga (17 listings), Lawrence (15 listings), and Potter (13 listings).
Additional coverage spans
Forest (11),
Cameron (10),
Greene (9),
Washington (9),
Huntingdon (8),
Somerset (7),
Columbia (7),
Beaver (6),
Lebanon (6),
Montour (6),
York (5),
Pike (5)
, plus 47 more districts.
Coverage in Pennsylvania — by district
Total rows:493With mobile:493With website:173
Districts
Total
With mobile
With website
Luzerne
103
103
36
Bedford
51
51
18
Erie
34
34
12
Franklin
26
26
9
Juniata
21
21
7
Tioga
17
17
6
Lawrence
15
15
5
Potter
13
13
5
Forest
11
11
4
Cameron
10
10
4
All districts (67)
493
493
173
Coverage in Pennsylvania — all 67 districts
Districts
Total
With mobile
With website
Luzerne
103
103
36
Bedford
51
51
18
Erie
34
34
12
Franklin
26
26
9
Juniata
21
21
7
Tioga
17
17
6
Lawrence
15
15
5
Potter
13
13
5
Forest
11
11
4
Cameron
10
10
4
Greene
9
9
3
Washington
9
9
3
Huntingdon
8
8
3
Somerset
7
7
2
Columbia
7
7
2
Beaver
6
6
2
Lebanon
6
6
2
Montour
6
6
2
York
5
5
2
Pike
5
5
2
Sullivan
5
5
2
Butler
5
5
2
Centre
4
4
1
Philadelphia
4
4
1
Cambria
4
4
1
Bradford
4
4
1
Wayne
4
4
1
Armstrong
4
4
1
Adams
4
4
1
Snyder
3
3
1
Elk
3
3
1
Crawford
3
3
1
Bucks
3
3
1
Montgomery
3
3
1
Wyoming
3
3
1
Dauphin
3
3
1
Lackawanna
3
3
1
Westmoreland
3
3
1
McKean
3
3
1
Allegheny
3
3
1
Susquehanna
3
3
1
Clarion
2
2
1
Mifflin
2
2
1
Clearfield
2
2
1
Clinton
2
2
1
Fulton
2
2
1
Perry
2
2
1
Chester
2
2
1
Northampton
2
2
1
Indiana
2
2
1
Warren
2
2
1
Carbon
2
2
1
Fayette
2
2
1
Cumberland
2
2
1
Berks
2
2
1
Lancaster
2
2
1
Monroe
2
2
1
Lehigh
2
2
1
Schuylkill
2
2
1
Union
2
2
1
Mercer
2
2
1
Jefferson
2
2
1
Blair
2
2
1
Lycoming
2
2
1
Delaware
2
2
1
Venango
2
2
1
Northumberland
1
1
0
All districts (67)
493
493
173
Related coverage — same industry
Drill up for wider coverage
Discount Retail Stores Locations Database — United States
The Discount Retail stores database includes 493+ verified Discount Retail 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.
Shaun (US) bought 11 hours ago
·Myra (US) bought 12 hours ago
·Ryan (US) bought 14 hours ago
·Johnnie (IN) bought 14 hours ago
·Brain (US) bought 15 hours ago
How to use this data
Catchment intelligence — score postcodes by Discount Retail density to prioritise spend across Pennsylvania, United States.
Store-format design — study Discount Retail concentration patterns to choose the right footprint per region in Pennsylvania, United States.
Operations dashboards — load addresses + GPS into Looker / Power BI to track ground performance per Discount Retail site.
Frequently asked about this dataset
How many Discount Retail stores are in Pennsylvania, United States?
Counting only operational sites, the Discount Retail footprint in Pennsylvania, United States sits at about 493+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
Where can I download a database of all Discount Retail stores in Pennsylvania, United States?
Data2Sales AI hosts the most up-to-date Discount Retail stores list for Pennsylvania, United States; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
What fields are included in the Discount Retail stores dataset?
The CSV ships with one row per Discount Retail location, columns covering Discount Retail 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.
How accurate is the Discount Retail stores location data?
Every Discount Retail location is cross-referenced across the Discount Retail 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 Discount Retail footprint in Pennsylvania, United States.
Is the Discount Retail stores data updated?
Yes. The Discount Retail 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.
Can I use the Discount Retail stores data for marketing and sales outreach?
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Discount Retail catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
What format do I receive the Discount Retail stores database in?
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.
How soon after purchase can I download the Discount Retail stores CSV?
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 Discount Retail stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Discount Retail Stores Database in Pennsylvania, United States
Data2Sales AI's World Wide Data database for Pennsylvania, United States consolidates 493+ 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.