What is home mortgage disclosure act (HMDA)?

Why HMDA Exists: The Redlining Problem

In the decades following World War II, federal housing policy and private lending practices systematically denied mortgage credit to African American families and to residents of racially mixed neighborhoods. The Home Owners' Loan Corporation (HOLC) color-coded neighborhood maps from the 1930s — literally drawing red lines around minority neighborhoods — became the blueprint for private lenders to deny mortgages regardless of individual creditworthiness. The result was a near-complete exclusion of Black Americans from the postwar homeownership boom that built the white middle class.

By the 1970s, community advocacy groups and journalists had documented that major banks simply refused to lend in certain zip codes. The problem was that without data, it was nearly impossible to prove. A bank could always claim its decisions were based on individual creditworthiness. HMDA was Congress's response: force lenders to reveal where they are and are not lending, and let the data speak.

What HMDA Requires Lenders to Report

Under current Regulation C, covered lenders must report detailed data on each mortgage application they receive, including:

• Applicant demographics: Race, ethnicity, sex, and age, with age reported in whole years as of the application date using the date of birth on the application form
• Loan characteristics: Loan type (conventional, FHA, VA, USDA), loan purpose (purchase, refinance, home improvement), property type, occupancy, loan amount, and whether the lender sold the loan on the secondary market
• Underwriting data (added in 2018): Credit score, debt-to-income ratio, combined loan-to-value ratio, automated underwriting system results, and total loan costs
• Outcome: Whether the application was originated, denied, withdrawn, or incomplete — and if denied, the primary denial reason
• Pricing: The interest rate, rate spread (difference from average prime offer rate), and total origination charges

This is reported annually to the CFPB, which publishes it in a public database (ffiec.gov/hmda). Any researcher, journalist, regulator, or community organization can download and analyze the complete dataset.

What HMDA Data Reveals About the Housing Market

HMDA data is the primary empirical basis for understanding mortgage lending disparities. Recent years' data consistently shows:

• Denial rate gaps: Black applicants face denial rates approximately 2 times higher than white applicants for conventional loans, even after controlling for observable creditworthiness factors
• FHA concentration: Black and Hispanic borrowers disproportionately use FHA loans, which require lower credit scores and down payments — but also carry higher mortgage insurance premiums. FHA's delinquency rate (13.64% of loans in HUD's monthly report in August 2026) reflects both economic circumstances and the population channeled into FHA products
• Geographic gaps: HMDA data maps areas where few loans are made relative to population — revealing which neighborhoods remain effectively excluded from conventional credit access
• Pricing disparities: Analysis of HMDA rate spread data reveals that minority borrowers received higher-rate loans more frequently than similarly qualified white borrowers during the subprime boom

How HMDA Connects to Enforcement

HMDA data is a screening tool, not a finding of discrimination. When HMDA data shows a lender has a statistically significant disparity — denying Black applicants at rates far higher than white applicants with similar profiles — regulators may conduct a fair lending examination. The exam reviews individual loan files and underwriting decisions to determine if the disparity reflects genuine creditworthiness differences or discriminatory treatment.

If an examination confirms discrimination, regulators can pursue enforcement under ECOA (Equal Credit Opportunity Act) or the Fair Housing Act. The CFPB, DOJ, OCC, FDIC, and FHFA all use HMDA data in their supervisory and enforcement programs.

Notable enforcement actions triggered by HMDA data include the DOJ's $335 million settlement with Countrywide Financial (2011) for steering Black and Hispanic borrowers into higher-cost loans, and numerous smaller community bank cases where geographic analysis of HMDA data revealed failure to serve minority neighborhoods.

HMDA's Limitations

HMDA data has important limitations that affect how it should be interpreted:

• It shows outcomes — approvals and denials — but cannot conclusively establish whether disparities reflect discrimination, differences in unobserved creditworthiness factors, or both
• Coverage thresholds exclude smaller lenders below certain loan volume minimums, creating gaps in rural area data
• Self-reported race/ethnicity data may be incomplete when applicants decline to provide it, particularly for online applications
• It does not capture predatory lending within approvals — an applicant might be approved but steered into a more expensive product than their credit profile warranted