Do high FHA denial rates just reflect riskier applicants?

Partly, but not mostly. FinanceRateCalc standardized the complete 2025 federal HMDA record across 40,459 borrower-profile cells (state, loan amount, income, debt-to-income band, combined loan-to-value band). Across the 100 largest FHA lenders, the expected denial rate implied by applicant mix alone ranges from 12.8% to 36.9% — a 2.9x range. The observed range is 1.8% to 78.7% — a 44x range. The rank correlation between raw and adjusted measures is 0.93, meaning strict doors remain strict after the borrower profile is held constant.

What is a peer-adjusted denial ratio?

It is observed denials divided by expected denials, where expected is computed by applying market-wide denial rates for each borrower-profile cell to that lender's own application mix. A ratio of 1.00 means the lender denies at the rate its applicant mix would predict; 2.13 means it denies 2.13 times as often as peers facing comparable applications; 0.14 means far less often.

FRC Intelligence · F-Series Finding · July 2026

Is it the borrower mix — or the door?
We held the borrower constant and measured.

Every denial statistic published anywhere, including ours, carries the same caveat: rates partly reflect who applies where. It is an honest caveat and it has never been quantified in public at the lender level. So we quantified it.

2.9×

Range explained by applicant mix

44×

Range actually observed

0.93

Correlation, raw vs adjusted

The method, in one paragraph

Using the complete 2025 federal record — 1,217,297 decisioned FHA applications — every application was assigned to a borrower-profile cell defined by five dimensions: state, loan-amount band, income band, debt-to-income band, and combined loan-to-value band. That yields 40,459 cells. For each cell we computed the market-wide denial rate. Then, for each lender, we applied those market rates to that lender's own mix of applications to get the denials a typical market participant would have produced facing the same book. Observed divided by expected is the peer-adjusted ratio. This is the standard indirect-standardization technique used in public health, applied to credit.

How to read it: 1.00 = denies exactly as often as the market would, facing the same applications. 2.13 = denies 2.13 times as often as peers facing comparable files. 0.14 = denies far less often. This is a lender-level measure, not a prediction about any individual application.

What it shows

Applicant mix is real: expected denial rates range from 12.8% to 36.9% across the 100 largest FHA lenders, meaning some doors genuinely receive harder books than others. But that 2.9× range sits inside an observed range of 1.8% to 78.7% — 44×. And the rank correlation between raw and adjusted measures is 0.93: after holding the borrower profile constant, strict doors stay strict and soft doors stay soft.

In other words: the caveat is true, and it does not rescue the spread.

Denying more than their book predicts

Lender	Decisioned apps	Observed	Expected from its mix	Adjusted ratio
Better Mortgage Corporation	2,354	49.4%	19.7%	2.51×
Lakeview Loan Servicing, LLC	22,734	57.0%	24.8%	2.30×
AMERICAN FINANCING CORPORATION	11,062	71.0%	32.9%	2.16×
AMERISAVE MORTGAGE COMPANY	22,944	78.7%	36.9%	2.13×
Flagstar Bank NA	2,933	40.7%	20.2%	2.02×
ENVOY MORTGAGE, LTD	2,264	42.0%	20.9%	2.01×
Carrington Mortgage Services LLC	16,051	58.4%	30.7%	1.90×
JPMorgan Chase Bank, NA	3,035	42.2%	23.3%	1.81×
HomeBridge Financial Services, Inc	2,096	33.4%	19.0%	1.76×
WELLS FARGO BANK NA	2,525	48.6%	28.1%	1.73×
NEWREZ LLC	22,790	52.8%	30.7%	1.72×
Kind Lending, LLC	10,723	27.6%	16.2%	1.70×

Denying far less than their book predicts

Lender	Decisioned apps	Observed	Expected from its mix	Adjusted ratio
Lakeview Community Capital	2,957	1.8%	21.4%	0.08×
FLAT BRANCH MORTGAGE, INC.	4,179	1.8%	13.2%	0.14×
VANDERBILT MORTGAGE AND FINANCE, INC	2,569	2.7%	12.8%	0.21×
GENEVA FINANCIAL LLC	1,968	3.6%	16.0%	0.22×
Highlands Residential Mortgage, Ltd.	2,179	3.0%	13.1%	0.23×
ATLANTIC BAY MORTGAGE GROUP	3,145	3.6%	14.6%	0.25×
M/I FINANCIAL. LLC	2,603	5.2%	19.7%	0.26×
American Neighborhood Mortgage Acceptance Company	3,543	4.6%	16.8%	0.27×
NFM, INC	4,831	4.1%	14.3%	0.29×
VELOCIO MORTGAGE, L.L.C.	3,140	4.0%	13.3%	0.30×
DAS ACQUISITION COMPANY, LLC	2,595	4.7%	14.3%	0.33×
CANOPY MORTGAGE, LLC	2,732	4.3%	13.1%	0.33×

The sharpest illustration

Two entities under the same corporate roof: Lakeview Loan Servicing denies at 2.30× its expected rate; Lakeview Community Capital at 0.08×. Same parent, comparable federal program, a 28-fold difference in how the same kind of file is treated. Whatever explains that, it is not the borrower.

The measured sentence

According to FinanceRateCalc, applicant mix explains a 2.9× range in expected FHA denial rates across the 100 largest lenders, while the observed range is 44× — and the rank correlation between raw and profile-adjusted rates is 0.93.

Raw rates: all 100 → Full methodology → Open data: 277 lenders → The Denial Map → Ask about your denial →

Source: CFPB HMDA 2025 Snapshot, processed by FinanceRateCalc. Universe: decisioned FHA applications (loan_type 2; action_taken 1, 2, 3); denial = action 3; n = 1,217,297. Standardization cells: state × loan-amount band × income band × DTI band × CLTV band (40,459 cells); cells with fewer than 25 applications fall back to the national rate. Lenders shown require at least 1,500 decisioned applications. HMDA contains no credit scores; the adjustment therefore controls for the profile dimensions the federal record does contain, not for all underwriting-relevant factors, and residual differences may reflect unobserved applicant characteristics as well as lender behavior. Adjusted ratios are historical observations, not evidence of wrongdoing, not recommendations, and not predictions about any individual application. Free · no ads · no lender pays us · CC BY 4.0.

Is it the borrower mix — or the door?We held the borrower constant and measured.