HMDA Loan Application Register filing requires standardized addresses, correct entity classifications, and clean borrower data. BackOffice Scripts automates the data normalization that used to take weeks.
The Home Mortgage Disclosure Act (HMDA) requires financial institutions to report detailed loan application data in standardized formats. According to the CFPB, address standardization and entity classification errors are among the top reasons for HMDA data quality warnings. The average HMDA-related fine for data quality violations exceeds $1.2 million. Manual data preparation for HMDA LAR (Loan Application Register) filing typically takes 2-4 weeks of analyst time for mid-size lenders processing 2,000+ loans per year.
$1.2M+
Average HMDA fine for data quality issues
CFPB Enforcement Actions
2-4 weeks
Typical manual HMDA data prep time for mid-size lenders
Top 3
Most common HMDA errors: address format, entity type, name standardization
Pull borrower records from your LOS with name and address columns.
Normalize all addresses to USPS standard format with structured street/city/state/ZIP fields.
Classify each borrower as Individual, Joint, Trust, LLC, or other entity type for accurate LAR coding.
Download the standardized data and import it into your HMDA reporting system.
Normalize addresses to USPS standard format, split into structured fields (street, city, state, zip), and flag invalid or incomplete addresses. Essential for HMDA reporting and rate territory assignment.
2 credits/record
Classify records into granular entity types: Individual, Joint, Trust, Estate, LLC, Corporation, Partnership, Government, Nonprofit. Critical for insurance underwriting and loan processing.
1 credit/record
Yes. Addresses are normalized to USPS Publication 28 standards with proper abbreviations, directionals, and unit designations.
HMDA requires distinguishing between natural persons and legal entities. Our classifier identifies Individuals, Joints, Trusts, LLCs, Corporations, Partnerships, Government entities, and Nonprofits.
There's no date restriction. Upload any CSV regardless of when the loans were originated. The scripts process based on the data content, not dates.
Start with 100 free records. No credit card required.