RATA
Justice Department and Consumer Financial Protection Bureau Reach $98 Million Settlement to Resolve Allegations of Auto Lending Discrimination by Ally
Settlement Is Department's Third Largest Fair Lending Agreement Ever and Largest Ever Auto Lending Agreement The Department of Justice and the Consumer Financial Protection Bureau (CFPB) today announced the federal government's largest auto loan discrimination settlement in history to resolve allegations that Detroit-based Ally Financial Inc. and Ally Bank have engaged in an ongoing nationwide pattern or practice of discrimination against African-American, Hispanic and Asian/Pacific Islander borrowers in their auto lending since April 1, 2011. The agreement is the first joint fair lending enforcement action by the department and CFPB. With this agreement, eight of the top 10 largest fair lending settlements in the department's history have been under Attorney General Eric…
Justice Department Reaches Settlement with Fort Davis State Bank to Resolve Allegations of Lending Discrimination
The Justice Department announced today that Fort Davis State Bank, based in Fort Davis, Texas, will implement uniform pricing policies, conduct employee training and pay $159,000 as part of a settlement to resolve allegations that it engaged in a pattern or practice of discrimination on the basis of national origin. Facts from the Justice Department's settlement with Fort Davis State Bank, as cited in this article. InstitutionRegulator(s)ViolationPenaltyPeriod coveredHMDA/fair-lending data field involved Fort Davis State BankJustice Department (Civil Rights Division); referred by the FDICEqual Credit Opportunity Act (ECOA) — pattern or practice of pricing discrimination on the basis of national origin, charging higher prices for unsecured consumer loans to Hispanic…
Special Report: Geocoding - Achieving the Highest Accuracy
Although geocoding is only one part of the examination accuracy testing, it is substantially different from the other submittable data that is tested. The geocode is probably the most important data element because of its demographic impact. There is no such thing as 100% accuracy for geocodes on a complete LAR due to the complexities and subtleties of the subject, but there is at least one proven solution that can achieve greater than 98% accuracy. This document contains statistical and anecdotal evidence describing how to achieve the highest precision level possible to help avoid a time-consuming resubmission process or a costly penalty. See the geocoding engine behind these accuracy figures. If you want to check a hard-to-place address yourself before it becomes a resubmission problem,…
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- How to Evaluate Fair Lending and CRA Software: What to Test Before You Sign
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- 2026 HMDA Data: Your Filing Checklist for the March 1, 2027 Deadline
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- How to Evaluate Fair Lending and CRA Software: What to Test Before You Sign
- What a Fair Lending Exam Actually Asks For
- Fair Servicing: What Examiners Test in Servicing Data, and How to Test It First
- What Actually Counts as a Small Business Loan Under Section 1071
- Section 1071 in 2026: What Lenders Need to Know About Small Business Lending Data
- How to Evaluate Fair Lending and CRA Software: What to Test Before You Sign
- Special Report: Geocoding - Achieving the Highest Accuracy
