Pennsylvania · FY2020–Present · SBA 7(a)

Signal Desert

13,199 geocoded SBA loans mapped to street address across all 67 Pennsylvania counties. (Total approved: 13,205; 6 loans excluded due to incomplete address data.)

Initializing…

Dead Zone Finder

Scanning 67 counties…

County Comparison

PA vs. Peer States
Ohio · New York · New Jersey · FY2020–2026
Loading…
SBDC ROI Calculator
SBA benchmarks: 0.4 sessions/hr · 12% application rate · 68% approval · $449k avg loan · 2.7 jobs/loan
500 hours
⌕
Metric
Zoom to reveal 13,199 geocoded loan locations (13,205 total approved)
Signal Desert Index
Critical 65–100
High 55–65
Moderate 45–55
Low <45
SBDC Office
0
loans in view
Lender Coverage
PA SBA Lender HQ
30-mile zone
Low Lender Proximity
Counties >30 mi from any PA-based SBA lender HQ.
Signal Desert Index Composite 0–100: loan rate (35%), FDIC bank branches (20%), median income (20%), poverty rate (15%), SBDC distance (10%). Bank branches = all FDIC-insured institutions (SoD 2022), not SBA-specific lenders. Lender Desert layer separately measures distance to PA-based SBA 7(a) lender headquarters from FOIA data — a proximity proxy for SBA-specific access, not a direct measure of whether lending is available. Businesses may access SBA loans through lenders headquartered outside the county.

All counts are SBA approvals, not funds disbursed. Of 13,199 geocoded records, 1,705 (12.9%) carry status CANCLD (cancelled) and 214 CHGOFF (charged off); 8,321 are EXEMPT, 2,102 paid in full, 857 committed. Approval counts therefore overstate capital actually deployed. County aggregates total 13,205 approvals; 13,199 geocoded to a street address, with 6 excluded for incomplete address data (Bucks 1, Cumberland 1, Lancaster 1, Luzerne 1, Philadelphia 2).

Data SBA FOIA 7(a) 2026-06-30 · Census CBP 2022 · Census ACS 2022 · FDIC SoD 2022 · Census Geocoder (100% match)

Regression model OLS R²=0.982. Predictors: business establishment count (Census CBP), median household income (ACS), FDIC branch density, poverty rate. Establishment count implicitly controls for population scale — per-establishment normalization means the model accounts for county size. Predicted volume = structural expectation; gap = actual minus predicted.

Author Leo Sun · The Shipley School, Philadelphia
leosun582@gmail.com
Access Gaps
Pennsylvania
Click any county to analyze
18
severely underserved counties
$5.94B
SBA capital approved since 2020
27%
fewer loans than comparable Ohio counties
9
counties with no SBA lender within 30 miles
Largest Credit-Access Gaps
1Cambria80.1
2Clearfield78.2
3Fayette77.0
4Blair75.1
5Bedford74.9
6Clarion74.9
7Huntingdon74.6
8Juniata74.5
Select a county for local analysis →
Lending-rate scenario
Drag to simulate
—Loans
—Approved
—Avg loan
—Jobs
—SDI
—Filtered

Filters

Narrow by industry, year, size

Industry
Fiscal Year
Min Loan Size
$0
Status
Showing 0 loans