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Explore all 145.5K companies with CFPB consumer complaints

145,512 companies

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Company Complaints
with a balance of {$10000.00} A student loan account with Dept of EducationXXXX opened on XX/XX/XXXX 2
with a balance of {$1100.00} A collection account with XXXX XXXX opened on XX/XX/XXXX 1
with a balance of {$11000.00}. These collections are inaccurate 3
with a balance of {$12000.00}. These entries are highly damaging because they suggest that I have failed to meet family obligations when that is not true. Experian has not provided me with any official court orders 1
with a balance of {$15000.00}. 1
with a balance of {$1800.00} 1
with a balance of {$1800.00}. XXXX XXXX 3
with a balance of {$2600.00}. 1
with a balance of {$27000.00} ; and TX XXXX XXXX account number XXXXXXXX XXXX XXXX XXXX opened on XX/XX/XXXX 1
with a balance of {$290.00}. I never received a bill for services from XXXX XXXX XXXX XXXX. I called them after receiving court documents on XX/XX/XXXX. They stated that they sent me a bill on XX/XX/XXXX showing the balanced owed after my insurance made a payment of {$1100.00}. However 1
with a balance of {$340.00} and negative information that can not be validated with original records. Additionally 1
with a balance of {$3400.00} A collection account with XXXX XXXX XXXX opened on XX/XX/XXXX XXXX with a balance of {$1700.00} Pursuant to FCRA Section 611 ( 15 U.S.C. 1681i ) 1
with a balance of {$3400.00} A collection account with XXXX XXXX XXXX opened on XX/XX/XXXX XXXX XXXX a balance of {$1700.00} Pursuant to FCRA Section 611 ( 15 U.S.C. 1681i ) 1
with a balance of {$4400.00} A student loan reported by XXXX XXXX XXXXXXXX XXXX XXXX XX/XX/XXXX 1
with a balance of {$470.00} 1
with a balance of {$480.00}. These items are questionable in their accuracy and completeness. 1
with a balance of {$6300.00} 3
with a balance of {$6700.00} A collection account with XXXX XXXX XXXX opened on XX/XX/XXXX 1
with a balance of {$680.00} 4
with a balance of {$700.00} 1
with a balance of {$860.00} XXXX XXXX ( Account Ending in XXXX ) 1
with a balance of {$920.00} ; and XXXX XXXX XXXX account number XXXX 1
with a balance owing of {$5800.00} The Bank is the original creditor 1
with a balance that is unknown.,,PNC Bank N.A.,OR,972XX,,Consent provided,Web,2017-12-20,Closed with monetary relief,Yes,N/A,2760647 1
with a balance that is unknown.,Company believes it acted appropriately as authorized by contract or law,TrueAccord Corp.,OR,972XX,,Consent provided,Web,2017-12-20,Closed with explanation,Yes,N/A,2761187 1
with a bogus tracking number on XXXX XXXX XXXX XXXX XXXX Its fake. 1
with a certified check from Fifth Third Bank. My account was apparently left OPEN causing a ripple of preexisting automatic electronic payments after I had a XXXX balance with my money market account 1
with a chance to refute and respond to anything the merchant sends. 1
with a claim that it's based on a lack of proof to verify this check from XXXX XXXX 1
with a copy to Shellpoint Mortgage. See attachment. 1
with a copy to the Chase office in XXXX 1
with a cover sheet 1
with a date of first delinquency of XXXX 1
with a down-payment of {$4800.00} ( {$300.00} more than the previous agreed down-payment ). He then only showed me what my monthly payments were going to be 1
with a due date of XX/XX/2023. 1
with a flawless payment history ). 1
with a foreclosure date of XXXX XXXX 1
with a girlfriend. It was her address. I don't know that this would be considered a residence 1
with a goodwill letter. I wrote then a immaculate professional and checked by experienced personnel letter and they still declined to solve my problem 4
with a hefty balance of {$230000.00} ( adding in missed payments ) and the new term is 40 years!! Are you kidding me??!! 1
with a higher debt rating than previously before the payment ( thus robbed again ). Payment also due again for XXXX and XXXX thus robbed a third time 1
with a lake house in XXXX County 1
with a list of bogus reasons for doing so. 1
with a matching move-out date and unit number to the summary of move-out charges provided by Genesis. In this final move-out statement 1
with a maturity date of XX/XX/XXXX 1
with a maturity date of XXXX listed on the current loan. It should be ending in XXXX 1
with a minimum payment of {$1000.00} 1
with a monthly interest charge of ~ {$120.00} 1
with a monthly payment of {$100.00}. this account does not exist. i want this entire thing deleted and XXXX XXXX should be held accountable. I am including the update i got from them ( XXXX XXXX ) that the XXXX account was closed and updated 1
with a monthly payment of {$5700.00} 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.