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Research and reports

We study how consumers interact with financial products and services to help identify potential problems in the marketplace and achieve better outcomes for all. Review our reports and analyses to help inform your decisions, policies, and practices. And, see reports that we periodically prepare about the CFPB.

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Category: Consumer education and empowerment |
Published

Debt and delinquency after military service: A study of the credit records of young veterans in the first year after separation

This report is a follow-on study to our Financially Fit research report. Rather than focus on the credit histories of young servicemembers, this study takes a closer look at the credit records of young veterans in the first year after separation from the military.

Category: To Congress |
Published

Integrated Mortgage Disclosures Under the Real Estate Settlement Procedures Act (Regulation X) and the Truth in Lending Act (Regulation Z) Rule Assessment

This report describes the TRID Rule, the market, and the Bureau’s findings on the Rule’s effectiveness in meeting factors outlined in Dodd-Frank.

Category: Supervisory Highlights |
Published

Supervisory Highlights, Issue No. 22 (Summer 2020)

In this edition of Supervisory Highlights, we report examination findings in the areas of consumer reporting, debt collection, deposits, fair lending, mortgage servicing and payday lending. The report does not impose any new or different legal requirements, and all violations described in the report are based only on those specific facts and circumstances noted during those examinations.

Category: Data point |
Published

An updated review of the new and revised data points in HMDA: Further observations using the 2019 HMDA data

The goal of this article is to help the public become more familiar with the new and revised data points in the 2019 HMDA data and to provide some initial observations about the nation’s mortgage market in 2019 using those new and revised data points. As in last year’s article, the focus of this article is on cross-sectional analyses, i.e. using the data contained in one year’s loan application registrar (LAR) to explore various patterns and relationships between different data fields to provide some initial observations.