Fair Lending Scanner

Perform uncomplicated mapping of your lending patterns by borrower demographics in every market - and then do the same for your peers.
You only have to keep asking questions - HMDAVision delivers the answers.

Document your quantitative analysis inside HMDAVision through our interactive PowerPoint builder.
Marketing Risk
Use our Marketing Risk Analysis sheet to scan each of your markets in seconds for any gaps in applications. Start at the national level, then drill down to state, to MSA, to county, and even to individual census tracts.
Are you taking applications in proportion to the population mix in your market?
The upside of this analysis is that you will also identify market growth opportunities.
Analyze applications' penetration by demographic segment.
Analyze applications' penetration by LMI segment.
Compare application mix to population mix.
Compare application mix to LMI mix.
Quickly repeat triaging for multiple demographic dimensions - Race, Ethnicity, Age, Sex.
Quickly repeat triaging for multiple MSAs or larger/smaller geographies - you control what you want to see.
Quickly repeat triaging for peers to compare to your own pattern.
Quickly repeat triaging for multiple geolocation - e.g. Minority vs Non-Minority census tracts/areas; high-minority census tracts, etc.
Redlining
Use our Redlining Risk Analysis sheet to scan in seconds each of your markets for any gaps in applications by geography. Start at the national level, then drill down to state, to MSA, to county, and even to individual census tracts.
Are there any LMI census tracts and/or minority-majority or high-minority areas that are not being served?
The upside of this analysis is that you will also identify opportunities to expand your geographic reach and to hire more diverse sales force and loan originators.
Markets and Peers
If you have never done this analysis, or you want to revisit your existing analysis, use HMDAVision to define your market and identify your peers. Powerful geo location filters allow for both interactivity and precision of targeting. Side-by-side comparisons with guided peer group selection, or a named peer, allow for immediate comparison of lending patterns in market from the hyper local all the way to the national level, in the context of borrower, product, and property attributes.
Peer Benchmarking
Do you have fewer applications from majority-minority and high-minority neighborhoods relative to peer lenders?
Benchmarking at every stage of the application loan life cycle.
How does your underwriting outcomes compare to your peer in majority-minority and high-minority neighborhoods, to LMI, and to minority population?
How do your applications stack up against your peers in majority minority areas? Or originations, or approved but not accepted loan offers? Or withdrawn applications?
Reverse Redlining
Perform quick analysis of each of your markets to see if you are originating loans with unfavorable terms (e.g. higher interest rates and fees) to protected-class borrowers.
Reverse redlining analysis is looking for red flags resulting from lending patterns to protected classes - e.g. higher - priced loans.
Underwriting
What are the denial rates and how do they compare by protected-class applicants/borrowers?
The upside of this analysis is that you will also identify opportunities to expand your loan product suite, perhaps even evaluate SPCP feasibility.
Use the Denial/Underwriting sheet to perform instant analysis of your (and your peers) denial patterns in specific geography.
Go beyond denial rate and evaluate the odds ratio that measures the likelihood that an application from a protected class will be denied more often than an application from the non-protected class (e.g. Non-Hispanic White).
Explore the denial reasons for the geography and for each protected class.
Explore the impact of Credit Score Model used and AUS used to underwrite (deny) applications by demographic group.
Deep dive into outcomes of underwriting - denials, denial rates, denial reasons by protected-class, geography, product, lender, credit score model, AUS, and many more.