Mclean, VA · Credit union · NCUA · $29.3 billion assets · 11,278 loans in 2025
11,278
loans originated, 2025
26,508
applications, 2025
52
states and territories
1
gaps bigger than at similar lenders
How to read this section
For Black, Hispanic and Asian applicants, we look at how much more often Pentagon Federal Credit Union turns them down than White
applicants: the gap. Then we compare that gap with the gap at similar lenders, for similar applications: the same
income, loan size, debt-to-income range, loan-to-value, loan type, kind of property and place.
"Bigger gap" means we are at least 99% sure the gap is bigger than at similar lenders. That is a reason to look
closer, not proof of discrimination. The public data has no credit scores and none of the documents a lender
reviews, and the kind of loans a lender makes can widen a gap for good reasons. Each result below gives the numbers
and the explanations they allow.
FIG. 1 — GAPS AGAINST SIMILAR LENDERS
Pentagon Federal Credit Union's gap is bigger than at similar lenders for Asian purchase applicants.
Each dot compares Pentagon Federal Credit Union's gap with the gap at similar lenders: at 1x they are the same, at 2x its gap is twice as large. A gap is how much more likely the group is to be turned down than White applicants. The line around each dot shows the range the true value probably lies in (95%). Amber: groups where we are at least 99% sure the gap is bigger.
SOURCE: FFIEC HMDA 2025; JENNER ANALYTICS NATIONAL DENIAL MODEL
Asian purchase
Pentagon Federal Credit Union's gap for Asian purchase applicants is bigger than at similar lenders.
How sure we are that the gap is bigger than at similar lenders: 99.7%.
Of the purchase applications it decided in 2025, it turned down 58% of 267 from Asian applicants and 32% of 1,673 from White applicants. The most common reason: "other", which the public data does not explain, given for 70% of the Asian applicants turned down and 52% of the White applicants turned down.
PenFed turns down a large share of purchase applicants: 32% of White applicants and 58% of Asian applicants. The most common reason given is "other" (70% of the Asian applicants turned down), which the public data does not explain. The result rests on 267 Asian applicants.
The public data has no credit scores, savings or full credit histories, so our comparison cannot allow for them. A difference in them between the groups applying would produce a gap like this one.
FIG. 2 — REASONS FOR TURNING APPLICANTS DOWN, 2025
Why applications were turned down, beside White applicants at the same lender.
Each bar is 100% of the applications the lender decided for that group; the coloured part was turned down, split by the main reason the lender gave, and the rest were approved. Applications the applicant withdrew are not counted.
SOURCE: FFIEC HMDA 2025, FIRST REASON GIVEN
Applicants
Turned down: group
Turned down: White
How sure the gap is bigger
Result
Hispanic purchase
41%
32%
74.1%
Not clearly bigger
Hispanic refinance
63%
50%
20.1%
Not clearly bigger
Black purchase
49%
32%
89.4%
Not clearly bigger
Black refinance
58%
50%
38.0%
Not clearly bigger
Asian purchase
58%
32%
99.7%
Bigger gap than at similar lenders
Asian refinance
67%
50%
98.9%
Not clearly bigger
"How sure the gap is bigger": how sure we are that the lender's gap is bigger than at similar lenders. We call it bigger at 99% or more.