This dataset covers 3,850 verified records spread across
67+ districts in Pennsylvania.
3,850 records carry a verified phone number and
1,348 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density districts are
Montgomery (804 listings), Chester (402 listings), Beaver (268 listings), Lycoming (201 listings), Indiana (161 listings), Delaware (134 listings), Erie (115 listings), and Mifflin (100 listings).
Additional coverage spans
Blair (89),
Clinton (80),
Centre (73),
Butler (67),
Lackawanna (62),
Allegheny (57),
Union (54),
Clearfield (50),
Clarion (47),
Berks (45),
Snyder (42),
Wyoming (40)
, plus 47 more districts.
Coverage in Pennsylvania — by district
Total rows:3,850With mobile:3,850With website:1,348
Districts
Total
With mobile
With website
Montgomery
804
804
281
Chester
402
402
141
Beaver
268
268
94
Lycoming
201
201
70
Indiana
161
161
56
Delaware
134
134
47
Erie
115
115
40
Mifflin
100
100
35
Blair
89
89
31
Clinton
80
80
28
All districts (67)
3,850
3,850
1,348
Coverage in Pennsylvania — all 67 districts
Districts
Total
With mobile
With website
Montgomery
804
804
281
Chester
402
402
141
Beaver
268
268
94
Lycoming
201
201
70
Indiana
161
161
56
Delaware
134
134
47
Erie
115
115
40
Mifflin
100
100
35
Blair
89
89
31
Clinton
80
80
28
Centre
73
73
26
Butler
67
67
23
Lackawanna
62
62
22
Allegheny
57
57
20
Union
54
54
19
Clearfield
50
50
18
Clarion
47
47
16
Berks
45
45
16
Snyder
42
42
15
Wyoming
40
40
14
Dauphin
38
38
13
Philadelphia
37
37
13
Cumberland
35
35
12
Venango
33
33
12
Pike
32
32
11
York
31
31
11
Schuylkill
30
30
11
Perry
29
29
10
Jefferson
28
28
10
Potter
27
27
9
Crawford
26
26
9
Lancaster
25
25
9
Northumberland
24
24
8
Greene
24
24
8
Fayette
23
23
8
Forest
22
22
8
Bucks
22
22
8
Adams
21
21
7
Elk
21
21
7
Bradford
20
20
7
Cameron
20
20
7
Northampton
19
19
7
Carbon
19
19
7
Wayne
18
18
6
Lehigh
18
18
6
Monroe
17
17
6
Bedford
17
17
6
Susquehanna
17
17
6
Columbia
16
16
6
Somerset
16
16
6
Mercer
16
16
6
Juniata
15
15
5
Westmoreland
15
15
5
Washington
15
15
5
Sullivan
15
15
5
Luzerne
14
14
5
Lawrence
14
14
5
Huntingdon
14
14
5
Cambria
14
14
5
Armstrong
13
13
5
Tioga
13
13
5
McKean
13
13
5
Fulton
13
13
5
Warren
13
13
5
Franklin
13
13
5
Lebanon
12
12
4
Montour
12
12
4
All districts (67)
3,850
3,850
1,348
Related coverage — same industry
Drill up for wider coverage
The Loan Providers database for Pennsylvania, United States includes 3,850+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Kailyn (US) bought 22 hours ago
·Tulsi (US) bought 1 day ago
·Stephanie (US) bought 1 day ago
·Amara (GB) bought 1 day ago
·Arden (US) bought 2 days ago
How to use this data
Lookalike modelling — feed verified loan providers signals into your ad platform's modelling for Pennsylvania, United States.
Brand mapping — track competitive loan providers concentration street-by-street in major Pennsylvania, United States cities.
Field-ops planning — feed addresses into a route optimiser so Pennsylvania, United States sales visits hit the most loan providers firms per day.
Frequently asked about this dataset
How many businesses are in the Loan Providers database for Pennsylvania, United States?
The Loan Providers database for Pennsylvania, United States contains 3,850+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
Where can I download a Loan Providers database for Pennsylvania, United States?
The complete Loan Providers database for Pennsylvania, United States is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.
What fields are included in the Loan Providers dataset?
Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
How accurate is the Loan Providers data for Pennsylvania, United States?
Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live loan providers footprint in Pennsylvania, United States.
Is the Loan Providers dataset updated regularly?
Yes. The Loan Providers dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.
Can I use the Loan Providers data for marketing and outreach?
Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.
What format do I receive the Loan Providers database in?
You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.
How quickly can I download the dataset after purchase?
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Loan Providers Database in Pennsylvania, United States
Data2Sales AI's World Wide Data database for Pennsylvania, United States consolidates 3,850+ 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.
Also available — Zone-wide roll-ups
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.