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Explore all 145.5K companies with CFPB consumer complaints

Company Complaints
XXXX XXXX XXXXXXXX XXXX 2
XXXX XXXX XXXXXXXX XXXX ( Original Creditor : XXXX XXXX ) XXXX Balance Owed XXXX {$1400.00} XXXX XXXX XXXX ( Original Creditor : XXXX XXXX ) XXXX Balance Owed : {$1400.00} XXXX XXXX ( Original Creditor : XXXX XXXX ) XXXX Balance Owed : {$500.00} XXXX XXXX XXXX Inquiry Date XX/XX/XXXX XXXX XXXX Inquiry XXXX XX/XX/XXXX XXXX XXXX XXXX XXXX Date XX/XX/XXXX XXXX XXXX XXXX Inquiry Date XX/XX/XXXX XXXX XXXX XXXX XXXX Date XX/XX/XXXX XXXX XXXX XXXXXXXX Inquiry Date XX/XX/XXXX XXXX XXXX XXXX Date XX/XX/XXXX XXXX XX/XX/XXXX,Company has responded to the consumer and the CFPB and chooses not to provide a public response,TRANSUNION INTERMEDIATE HOLDINGS 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX and other prominent financial institutions. Unfortunately 1
XXXX XXXX XXXXXXXX XXXX ( XXXX XXXX. as trustee ) sent us a Notice of Intention to Foreclose ( see attachment # 4 ) 5. On XX/XX/XXXX SPS 1
XXXX XXXX XXXXXXXX XXXX Account # XXXX ) 1
XXXX XXXX XXXXXXXX XXXX Date of Inquiry XX/XX/XXXX 1
XXXX XXXX XXXXXXXX XXXX Inquiry : XXXX. XXXX 1
XXXX XXXX XXXXXXXX XXXX multiple FCRA violations for approximately XXXX or more accounts for almost 2 years x XXXX = ( XXXX ) 1
XXXX XXXX XXXXXXXX XXXX XX/XX/XXXX XXXX XXXX XXXX XXXX 2
XXXX XXXX XXXXXXXX XXXX XXXX 2
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX TX XXXX XX/XX/XXXX 1
XXXX XXXX XXXXXXXX XXXX XXXX '' appears to be inactive with no working phone number 1
XXXX XXXX XXXXXXXX XXXX XXXX Balance Owed : {$1300.00} 1
XXXX XXXX XXXXXXXX XXXX XXXX opened XX/XX/XXXX Balance {$1800.00} XXXX COUNTY OF XXXX XXXX Date opened XXXX XXXX 1
XXXX XXXX XXXXXXXX XXXX XXXX Opened XXXX XXXX 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX 6
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXX XXXX. I presume that no proof of the alleged debt 2
XXXX XXXX XXXXXXXX XXXX XXXX XXXX : XXXX 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX OH XXXX XXXX XXXX XXXX XXXX XXXX OH 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX 3
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXX 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXX the court ruled that failure to remove unverified data after a consumer dispute constitutes a willful violation of the FCRA 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXX XXXX. I presume that no proof of the alleged debt 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXX XXXX ( {$2200.00} Experian 3
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX Presume that no proof of the alleged debt 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX Balance Owed : {$0.00} Date XXXX Date of Last Activity : XX/XX/XXXX late XXXX days XX/XX/XXXX 3
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXX inquiries that 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXXXXXX ) 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXX XXXX XXXXXXXX / FDIC Reference among others : Number : XXXX VIA / E-mail : XXXX 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXX XXXX. I presume that no proof of the alleged debt 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXXXXXX 2
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXXXXXX XXXX XXXX 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXXXXXX XXXX. I presume that no proof of the alleged debt 1
XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXXXXXX XXXX XXXX. I presume that no proof of the alleged debt 1
XXXX XXXX XXXXXXXX XXXX XXXXXXXX 1
XXXX XXXX XXXXXXXX XXXX XXXXXXXX REMOVE THESE INQUIRIES FROM MY REPORT : XXXX XXXX 1
XXXX XXXX XXXXXXXX XXXX XXXXXXXX XXXX OH XXXX XXXX XXXX XXXX XXXX XXXX OH 1
XXXX XXXX XXXXXXXX XXXX XXXXXXXX XXXX XXXX fl XXXX These accounts have resulted in several fraudulent hard inquiries and fraudulent collections appearing on my consumer FICO credit reports. I have attached a list of the hard inquiries in question 1
XXXX XXXX XXXXXXXX XXXXXXXX XXXX XXXX XXXX XXXX FL XXXX XXXX XXXX XXXX XXXX XXXX 1
XXXX XXXX XXXXXXXX XXXXXXXX XXXX XXXX XXXX XXXXXXXX XXXX XXXX XXXX XXXX XXXXXXXX 1
XXXX XXXX XXXXXXXX. complaint # XXXX & will place a report with the FTC as well 1
XXXX XXXX XXXXXXXX. Detective XXXX advised that potential suspects have been identified and that video evidence exists. He has told me I will be contacted to help with identifying the suspects. 1
XXXX XXXX {$0.00} 1
XXXX XXXX {$11000.00} 6
XXXX XXXX {$17000.00} XXXX 1
XXXX XXXX {$2200.00} # XXXX opened XXXX 1
XXXX XXXX {$240.00} and XXXX XXXX {$330.00}. 2
XXXX XXXX {$410000.00} whether it be verbal 2
XXXX XXXX {$4900.00}. Discover did reverse the charges at one point but turned around and put the charges back under 1 card. 1
XXXX XXXX {$6700.00} XXXX. XX/XX/XXXX ( posted XX/XX/XXXX ) XXXX 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.