HMDA LAR Pre-Submission Audit
Audit HMDA LAR entries against source loan files before filing so you can catch mismatches, document corrections, and reduce last-minute CFPB submission risk.
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Built for: Mortgage Lending · Credit Unions · Community Banks · Nonbank Lenders
Overview
This HMDA LAR Pre-Submission Audit template is built to compare sampled Loan/Application Register entries against the underlying loan files before you file with the CFPB. It gives reviewers a structured way to confirm the audit period, document the sample, reconcile reported fields to source records, and log any discrepancies that need correction or escalation.
Use it when you need a repeatable pre-filing check for HMDA data quality, especially if your reporting process relies on multiple systems, manual coding, or exception handling. The template is useful for annual filing preparation, post-conversion validation, and internal quality control on fields that are commonly misreported, such as action taken, loan purpose, occupancy, applicant demographics, property data, pricing, and underwriting metrics.
Do not use this template as a substitute for your full HMDA compliance program or as a blanket review of every loan if your policy requires a different QC method. It is also not the right tool for unrelated lending audits, fair lending analysis, or post-filing correction workflows unless you adapt it for those purposes. The value of the template is in its file-level traceability: it helps you prove that reported data was checked, that exceptions were documented, and that unresolved items were identified before the filing deadline.
Standards & compliance context
- This template supports HMDA reporting controls by documenting a traceable review of LAR data against source loan files before submission.
- It aligns with common lending compliance management and quality control practices used to evidence data integrity and supervisory readiness.
- If your institution also uses fair lending or UDAAP review processes, keep this audit focused on HMDA reporting accuracy and use separate workflows for broader analysis.
- For institutions subject to internal audit or enterprise risk governance, the sample method, reviewer identity, and corrective action trail help support defensible oversight.
General regulatory context for orientation only — verify current requirements with counsel or the relevant agency before relying on this template for compliance.
What's inside this template
Audit Scope and Sample Selection
This section defines what was reviewed, how the sample was chosen, and who performed the audit so the work is repeatable and defensible.
- Audit period and submission year confirmed
- Sample size documented and representative of the LAR population
- Sample selection method recorded
- Loan files and LAR records available for each sampled application
- Audit checklist version and reviewer identified
Application and Action Data Reconciliation
This section checks the core HMDA action and application fields against the loan file, where many filing defects start.
- Application date matches source loan file
- Action taken / loan purpose / occupancy fields match source documentation
- Loan amount and property value are supported by the file
- Loan type, lien status, and rate spread fields are accurate
- Application channel and preapproval status match the file
Applicant, Property, and Demographic Data Validation
This section verifies identity, property, and census-related fields that must be supported by the application record and source documents.
- Applicant ethnicity, race, and sex fields are supported by the application record
- Applicant age and credit score fields, if reported, are accurate and complete
- Property address and census tract information are complete and consistent
- Property type and construction method are supported by the file
- Manufactured housing / multifamily indicators, if applicable, are correctly reported
Pricing, Underwriting, and Outcome Fields
This section confirms that pricing, underwriting, and denial or outcome data match the final loan terms and file evidence.
- Interest rate, APR, and rate spread fields reconcile to the final terms
- Debt-to-income ratio and combined loan-to-value ratio are supported by underwriting records
- Action taken and denial reason fields are complete and accurate
- Pricing data, if applicable, is consistent with the rate sheet and closing package
- Any exceptions or overrides are documented in the file
Submission Readiness and Corrective Actions
This section captures open defects, ownership, rechecks, and final sign-off so the audit ends with a clear filing decision.
- All identified discrepancies have been logged with owner and due date
- Reconciled records have been rechecked after correction
- Submission file is ready for CFPB filing
- Reviewer notes any unresolved items requiring escalation before deadline
- Inspector sign-off completed
How to use this template
- 1. Confirm the audit period, submission year, reviewer, and checklist version, then record the sample size and the method used to select loans from the HMDA population.
- 2. Pull each sampled loan file and its corresponding LAR record, then verify that all source documents needed for tracing reported fields are available before review begins.
- 3. Reconcile application, action taken, loan purpose, occupancy, loan amount, property value, lien status, channel, and preapproval fields against the file and note any mismatch as a deficiency.
- 4. Validate applicant, property, demographic, pricing, and underwriting fields against the application, underwriting, rate sheet, and closing package, marking any unsupported or incomplete item for correction.
- 5. Log every discrepancy with an owner and due date, recheck corrected records, and escalate any unresolved item that could affect filing accuracy before sign-off.
- 6. Complete the submission readiness section only after the reviewed records are reconciled and the final file is ready for CFPB filing.
Best practices
- Use a sample that reflects the full HMDA population, not just clean files, so you also test manual entries, exceptions, and higher-risk products.
- Trace each reported field back to the most authoritative source document in the file, and note when the source hierarchy is unclear.
- Photograph or attach supporting evidence only if your workflow allows it, but always capture the exact document reference that supports the reported value.
- Treat demographic, census tract, and pricing fields as separate validation points so one error does not mask another.
- Flag unresolved overrides immediately and require a named owner, because undocumented exceptions are a common filing defect.
- Recheck every corrected record before sign-off so the audit confirms the fix, not just the original issue.
- Keep the audit checklist version controlled so reviewers are using the same field definitions across the filing cycle.
What this template typically catches
Issues teams running this template most often surface in practice:
Common use cases
Frequently asked questions
What does this HMDA LAR Pre-Submission Audit template cover?
It covers a pre-filing review of sampled HMDA Loan/Application Register entries against the underlying loan files. The template walks through scope and sample selection, data reconciliation, applicant and property validation, pricing and underwriting fields, and final submission readiness. It is designed to surface discrepancies before the CFPB filing deadline, not to replace your full HMDA compliance program.
How often should this audit be run?
Use it before each annual HMDA filing, and again after any major data cleanup or system conversion if your team wants a second validation pass. Many lenders also run a mid-cycle internal review on a smaller sample to catch recurring data-entry issues earlier. The right cadence depends on loan volume, staffing, and how much manual mapping exists between LOS, underwriting, and HMDA reporting.
Who should complete the audit?
A compliance analyst, HMDA specialist, quality control reviewer, or internal audit staff member usually runs it, with loan operations or secondary review support when discrepancies need file-level clarification. The reviewer should understand HMDA data fields, source document hierarchy, and how to trace a reported value back to the loan file. If your process includes sign-off, the final approver should be independent from the original data entry where possible.
Is this template aligned to HMDA regulatory expectations?
Yes, it is built for pre-submission validation of HMDA LAR data and supports the kind of file-to-record reconciliation expected under CFPB HMDA reporting requirements. It also fits well with broader compliance management and quality control practices used in lending operations. The template does not replace legal review, but it helps document that reported fields were checked against source records before filing.
What are the most common mistakes this audit catches?
Common findings include mismatched application dates, incorrect action taken codes, unsupported occupancy or loan purpose fields, missing census tract data, and pricing fields that do not match the final terms. Teams also catch incorrect applicant demographic reporting, inconsistent lien status, and unresolved overrides that were never documented in the file. These are the kinds of issues that can create filing defects if they are not corrected before submission.
How should I choose the sample size and sample method?
Use a sample that is representative of the HMDA population for the submission year, with enough coverage across product types, channels, and edge cases to expose recurring errors. The template includes fields to record the sample size and selection method so the review is auditable. If your institution has a formal QC methodology, align the sample approach to that policy and document any targeted selections separately.
Can I customize this template for my institution's workflow?
Yes, you can add institution-specific fields such as reviewer hierarchy, escalation contacts, defect severity, or a link to your corrective action tracker. You can also tailor the sample logic to focus on high-risk products, manual underwriting, or loans with pricing exceptions. The core structure should stay intact so the audit still traces each reported HMDA field back to the source file.
How does this compare with ad hoc spreadsheet checks?
Ad hoc checks often miss scope documentation, reviewer accountability, and follow-up on unresolved defects. This template gives you a repeatable audit trail: what was sampled, what was checked, what failed, who owns the fix, and whether the corrected record was rechecked. That makes it easier to defend the filing process internally and to spot patterns across reporting cycles.
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