What it means
Each covered lender must record information about every application it handles, including the loan amount, the purpose, the location of the property and the decision it reached. It also records details about the applicant, such as income and demographic information.
The lender reports this to the regulator each year. The reason this matters is transparency.
A lender that denies a much higher share of applications from certain neighbourhoods or groups, after allowing for credit differences, may be breaching fair lending laws. The published data gives regulators, researchers and community groups the evidence to spot such patterns.
Whether a lender must report depends on thresholds set by the rule, and those thresholds are adjusted over time. The thresholds look at the size of the institution, whether it has a presence in a metropolitan area, and how many loans it originates.
Small lenders that do not meet the tests are generally excused. The rule is administered by the Consumer Financial Protection Bureau, and lenders usually hold a team or a software system just to prepare the annual submission.
Errors in the submission can lead to penalties, so most lenders run internal checks before filing. Accurate coding at the application stage saves a great deal of work later.
For a business outsider the data can be a useful tool. Real estate firms, developers and investors use HMDA data to understand mortgage demand in an area, see which lenders are most active and compare approval patterns.
It is one of the richest public datasets on housing finance. Lenders should also think of the data as a mirror of their own business.
The same fields that regulators study can reveal which branches, brokers or loan products produce the most declines, and management can use that insight to fix process problems before they turn into compliance findings. Good reporting is therefore a management tool as well as a legal duty.
In practice
Real-world examples.
Example
A community bank collects application data throughout the year using its loan system. In the spring it checks the file for missing property locations and fixes them before submitting to its regulator.
Example
A housing researcher uses the public data to compare approval rates for home purchase loans in two cities. The research shows that approval rates are similar but loan sizes differ, which prompts a deeper look at local prices.
Example
A property developer evaluating a new apartment project checks which lenders are most active in the area and what share of applications they approve. The analysis helps the developer choose financing partners for buyers.
Formula
Calculation
Denial rate = applications denied / applications acted upon x 100
A lender acts on 2,000 mortgage applications in a year. Of these, 300 are denied. Denial rate = 300 / 2,000 x 100 = 15%. If the denial rate in one neighbourhood group is 25% and in another is 10% with similar credit profiles, the gap is 25% - 10% = 15 percentage points, which would warrant a closer review.Case study
Seen in the real world.
Maplecrest Mortgage is an illustrative, fictional lender that grew quickly through online applications. When it prepared its first annual submission, the compliance team found that a third of its records lacked a consistent coding for loan purpose because different loan officers entered it in different ways.
Maplecrest spent two months cleaning the data, changed its application system so that the field became mandatory, and trained staff on correct coding. The next year's submission went through without corrections. The illustrative lesson is that reporting quality depends on how data is captured on day one, not on a rush to fix it at year end.
Maplecrest also began running its own quarterly denial-rate comparison across neighbourhoods, using the same fields it reports to the regulator. When one broker channel showed an unusually high denial rate, the team retrained the brokers on the lender's documentation checklist, and the rate came back in line.
Watch out
Common mistakes.
- Assuming only large banks report, when many non-bank mortgage companies and credit unions are also covered once they meet the thresholds.
- Treating the data as a one-off filing exercise, when it must be collected and recorded during the year as each application is handled.
- Reading a higher denial rate for a group as proof of discrimination, when the difference may be driven by credit factors that need to be examined.
Questions
People also ask.
Is the data available to the public?
Yes, the Consumer Financial Protection Bureau and the Federal Financial Institutions Examination Council publish loan-level data after removing some details to protect privacy.
Does the rule apply to every type of home loan?
It covers most home purchase, refinance and home improvement loans, along with certain open-end lines of credit, though some loan types are excluded.
Who uses the data?
Regulators use it for supervision, community groups use it to hold lenders to account, and businesses use it for market research.
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