Browse Companies

Explore all 145.5K companies with CFPB consumer complaints

Company Complaints
30 days had already elapsed since my XX/XX/XXXX direct deposits. I called Citi Bank client care on XX/XX/XXXX 1
30 late reporting.XXXX XXXX XXXXXXXX # XXXX showing closed account but showing scheduled payment amount 1
30 mins apart. So Online IS Customer Service 1
30 month later 1
30. Early termination Liability : If I am not in default 1
302 3
303-04 ( 6th Cir. XXXX ). But until the debt collector provides verification to the consumer 1
306 1
307 ( 1987 ). Public officials are also trustee [ s ] and servant [ s ] of the people 1
31 reputational benefits 1
31 USC 3729 - 3733 1
31. 2
313 So.2d 77 ( Fla. 1st DCA 1975 ). Vance v. Fields 1
317 ( D.C.1985 ) ). In a quiet title action 1
3210 3
328 F.3d 132 1
33 ( Proportion of loan balances to loan amounts too high ) 1
330 Ill. App. 3d 537 ( 2002 ) 1
330.7 1
336 U.S. 368 7
339 ( XXXX } ( internal quotations omitted ) ( quoting XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX. XXXX460 U.S. 1 1
34 CFR 685.102 1
34 CFR 685.204 5
34 CFR Part 99 ) Other applicable federal privacy laws This unauthorized access raises serious concerns regarding : 1. The security and integrity of the Department of Educations systems 2. Nelnets handling of borrower data The exposure of my data without my consent is a direct violation of federal regulations that require the safeguarding of student loan borrower information. 1
352.07 (documents available in the exhibits). SLS/Shellpoint was charging the Plaintiffs escrow illegally and stealing the funds from the escrow account). (Document from assessor tax letter). Where are these funds stolen from the escrow? NOW IN XXXX XXXX XXXX XXXX FOR THE XXXX IS ASKING FOR MORE FUNDS FOR THE ESCROW ACCOUNT. Again 1
357 F.3d 426 1
357 F.3d 426 ( 4th Cir. 2004 ) 2
357 F.3d 426 ( 4th Cir. 2004 ). 1
36 CCA 553 1
360 Credit Consulting 4
360 MORTGAGE GROUP LLC 90
361 3
37 and 2.38. You are knowingly and intentionally falsifying and misleading 1
372 2
38 Stat. 265 ; Jan. 30 3
38 Stat. 265 ; XX/XX/XXXX 1
38 Stat. 265 ; XXXX XXXX XXXX 1
38CFR36.4340 specifically addresses a service members anticipated income and it is to be considered the same as current income. There is no deposit requirement. 1
390 XXXX XXXX ). Congress originally passed the FDCPA with an exemption for attorneys operating as or for debt collectors. Id. 1
391 Financial, Inc. 3
392.303 ( harassment or abuse ) 1
3d Cir. 1997 ) 1
3D Financial, LP 3
3e and 3i) 3
3G+1, Inc. dba California Auto Finance 5
3rd Generation, Inc. 57
3rd party 3
3x30. 1
4 6
4 % XXXX XXXX of XXXX XXXX 1

What this index shows

This is the master index of every company that appears in the Consumer Financial Protection Bureau (CFPB) Consumer Complaint Database, mirrored on PlainComplaint and grouped by institution so a single company page rolls up every complaint filed against that company across every product, state, and year since 2011. The CFPB began collecting consumer complaints when it was established under the Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010 and has published them as a public dataset to give consumers, researchers, and journalists a window into how U.S. financial-services firms respond to customer concerns.

The default view is alphabetical by company name and paginated 50 companies per page. Use the sort controls to re-order by total complaint volume (highest first), timely-response percentage (best response track record first), or most recent complaint activity (companies with the freshest reports). Each row links to a dedicated company page showing year-over-year complaint trends, the top complaint products, complaint issues, top states by volume, and a year-by-year breakdown of complaint counts and response timeliness.

How to compare companies fairly

Raw complaint volume is a function of two things: how many customers the company serves, and how it handles those customers. A nationwide bank with tens of millions of accounts can show six-figure complaint counts simply because of its scale; a smaller regional lender with a few hundred complaints may actually have a higher per-customer complaint rate. The "Timely Response %" column shows the share of complaints the company answered within the CFPB's deadline — a stronger comparable metric across firms of different sizes. Pair it with the volume column to form a fuller picture, and dig into the company page for the breakdown by product so you can see whether issues are concentrated in a single line of business (for example, credit reporting) or spread across the entire firm.

Complaint records are consumer-submitted narratives. The CFPB does not adjudicate or verify the facts in each report before publishing; companies are given the opportunity to respond, dispute, or resolve. Many complaints are resolved with monetary or non-monetary relief. The strength of the dataset is in its scale — millions of records spanning every major U.S. consumer financial category — and its neutrality: it reports what consumers said, regardless of the company's perspective. Treat individual records accordingly, and lean on aggregate patterns (top issues, year-over-year trends, state distribution) when drawing conclusions.

What the dataset covers

The CFPB Consumer Complaint Database covers complaints against banks, credit-card issuers, mortgage servicers, debt collectors, payday lenders, student-loan servicers, money-transfer companies, prepaid-card issuers, credit bureaus, auto-finance lenders, and other financial products and services regulated by the agency. Complaints are categorized by product (the broad financial-services category) and sub-product, and again by issue (the specific consumer concern, e.g. "incorrect information on your report") and sub-issue. Year-by-year coverage runs from 2011 to present, with monthly refreshes published by the CFPB.

PlainComplaint refreshes from the agency's public release on a regular cadence and re-derives all aggregate counts, rankings, and trend lines on each refresh, so the page you're reading reflects the latest snapshot of the public database. See the methodology page for the full data pipeline, dedup rules, and the refresh schedule, or browse by other dimensions: issues, products, or states.