7 datasets found
  1. D

    Consumer Complaint Database

    • datalumos.org
    • catalog.data.gov
    • +2more
    Updated May 22, 2025
    + more versions
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    Consumer Financial Protection Bureau (2025). Consumer Complaint Database [Dataset]. http://doi.org/10.3886/E230883V1
    Explore at:
    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    Consumer Financial Protection Bureau
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Consumer Complaint Database is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming a commercial relationship with the consumer, or after 15 days, whichever comes first. Complaints referred to other regulators, such as complaints about depository institutions with less than $10 billion in assets, are not published in the Consumer Complaint Database. The database generally updates daily.

  2. h

    consumer-finance-complaints-large

    • huggingface.co
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    David Heineman, consumer-finance-complaints-large [Dataset]. https://huggingface.co/datasets/davidheineman/consumer-finance-complaints-large
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    David Heineman
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    CFPB Complaints

    A dataset of 7M complaints from the Consumer Financial Protection Bureau (CFPB), from 12/01/2011 to 01/02/2025. For descriptions of each column, please see consumerfinance.gov/complaint/data-use.

      More Details
    

    A description from the CFPB website:

    The Consumer Complaint Database is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming… See the full description on the dataset page: https://huggingface.co/datasets/davidheineman/consumer-finance-complaints-large.

  3. Data from: Consumer Complaint Database

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +1more
    api, csv, json, xml
    Updated Feb 26, 2014
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    Consumer Financial Protection Bureau (2014). Consumer Complaint Database [Dataset]. https://data.wu.ac.at/schema/data_gov/MWU2OGYzODctNWYxYy00NmMwLWEwZDEtNDYwNDRmZmVmNWJm
    Explore at:
    api, csv, xml, jsonAvailable download formats
    Dataset updated
    Feb 26, 2014
    Dataset provided by
    Consumer Financial Protection Bureauhttp://www.consumerfinance.gov/
    Area covered
    9b2b6716bb38d35ebb7ee41f50df716eb6013dd3
    Description

    These are complaints we’ve received about financial products and services.

  4. Consumer Financial Protection Bureau Complaints Utah 2013-14

    • opendata.utah.gov
    application/rdfxml +5
    Updated Oct 28, 2015
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    Consumer Financial Protection Bureau (2015). Consumer Financial Protection Bureau Complaints Utah 2013-14 [Dataset]. https://opendata.utah.gov/Business-Economy/Consumer-Financial-Protection-Bureau-Complaints-Ut/6rc6-ah3s
    Explore at:
    json, tsv, csv, application/rdfxml, application/rssxml, xmlAvailable download formats
    Dataset updated
    Oct 28, 2015
    Dataset authored and provided by
    Consumer Financial Protection Bureauhttp://www.consumerfinance.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Utah
    Description

    These are complaints received to the Consumer Financial Protection Bureau about financial products and services in Utah.

  5. Inequalities in Financial Services

    • kaggle.com
    Updated Dec 14, 2022
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    The Devastator (2022). Inequalities in Financial Services [Dataset]. https://www.kaggle.com/datasets/thedevastator/identifying-inequalities-in-financial-services-t/suggestions?status=pending&yourSuggestions=true
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 14, 2022
    Dataset provided by
    Kaggle
    Authors
    The Devastator
    Description

    Inequalities in Financial Services

    Bank Accounts and Credit Cards

    By Dataquest [source]

    About this dataset

    Explore the world of consumer finance with this dataset from the Consumer Financial Protection Bureau. This data set includes a rich compilation of detailed bank and credit card customer complaints and provides an invaluable insight into customer experiences in the financial sector. With over [number] records spanning across [date stream], this data set is ideal for researchers, policymakers, financial institutions and anyone looking to learn more about consumer finance.

    For each record in the dataset, you'll find details such as date received, product name, issue category, consumer complaint narrative, company response to customer enquiries, state origin of complaint (where appropriate) , even tags associated with the complaint. You can also uncover how timely the company responded to customer query usingthe Timely Response? field or whether customers disputed a firm's reply with Consumer Disputed? field. Utilizing all these features along with deep analysis can aid businesses in creating better consumer experiences prepared explainable models on root causes responsible for issues like disputes or late-responses ultimately leadingtoindustrywidepolicy change that benefit customers alike. Enjoyed exploring data? Hop online to check out additional records available at https://www.consumerfinance.gov/data-research/consumer-complaints/#download-the-data . This dataset is released under Public Domain Licensing Info which meant everyone’s free access!

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    How to use the dataset

    It is important to note that some fields are optional and missing values are expected for those fields due to how many data points had been reported at time of collection. It can be beneficial to list all unrecorded information separately for comparison considerations if relevant for your research needs.

    The data points found within this dataset can not only help you explore differences between experiences based on non-similar factors such as age but also broaden understanding into more specific discussions such as identifying racial disparities in access new types of technology like mobile banking applications versus traditional forms like checks or savings accounts. By using this tool along with other sources of information you should be able create a comprehensive picture regarding both individual's differences experiences in addition broader trends applicable across large swaths impacted people on both local and national levels. These findings could then be used potentially lead positive changes into institutions responsible providing us with these services over time alongside continued evaluation if growth has effectively occurred .

    Research Ideas

    • Identifying states and specific areas with the highest number of financial complaints to target education and awareness initiatives.
    • Analyzing trends in complaint investigations to improve customer service response times and accuracy rates.
    • Developing a machine learning model that can accurately predict if a company will respond to a financial complaint in a timely manner

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    Unknown License - Please check the dataset description for more information.

    Columns

    File: Bank_Account_or_Service_Complaints.csv | Column name | Description | |:---------------------------------|:------------------------------------------------------------------------------------| | Date received | The date the complaint was received by the CFPB. (Date) | | Product | The type of financial product or service the complaint is related to. (Text) | | Sub-product | The sub-category of the product the complaint is related to. (Text) | | Issue | The issue the consumer is complaining about. (Text) | | Sub-issue | The sub-category of the issue the consumer is complaining about. (Text) | | Consumer complaint narrative | The narrative of the complaint provided by the consumer. (Text) | | Company public response | The public response from the company regarding the complaint. (Text) ...

  6. National Solar Radiation Database

    • console.cloud.google.com
    Updated May 5, 2023
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    The citation is currently not available for this dataset.
    Explore at:
    Dataset updated
    May 5, 2023
    Dataset provided by
    Googlehttp://google.com/
    Consumer Financial Protection Bureauhttp://www.consumerfinance.gov/
    Description

    The NSRDB is a serially complete collection of hourly and half-hourly values of the three most common measurements of solar radiation—global horizontal, direct normal, and diffuse horizontal irradiance—and meteorological data. The current NSRDB is modeled using multi-channel measurements from geostationary satellites. The older versions of the NSRDB were modeled using cloud and weather information primarily collected at airports. Sufficient number of locations and temporal and spatial scales were used to represent regional solar radiation climates accurately. Using the NSRDB data, it is possible to estimate the amount of solar energy that is historically available at a given time and location anywhere in the United States. The NSRDB is also expanding to encompass a growing list of international locations . Using the long-term NSRDB data in various models, it is possible to predict the potential future availability of solar energy in a location based on past conditions. Typical Meteorological Year (TMY) data can be derived from the NSRDB time series datasets. Visit NREL's TMY page for detailed information about this data type and its uses. The latest addition to the NSRDB is spectral datasets. Spectral datasets are calculated on demand based on user specifications of tilt and orientation. Please visit NREL's Spectral Datasets page to learn more. The NSRDB metadata has been parsed into BigQuery tables for easy subsetting and analysis. See the metadata tables here. This public dataset is hosted in Google Cloud Storage and available free to use. Use this quick start guide to quickly learn how to access public datasets on Google Cloud Storage.

  7. Consumer Credit Card Complaints By Zip Code Utah 2012-2014

    • opendata.utah.gov
    application/rdfxml +5
    Updated Mar 2, 2015
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    Consumer Financial Protection Bureau (2015). Consumer Credit Card Complaints By Zip Code Utah 2012-2014 [Dataset]. https://opendata.utah.gov/Government-and-Taxes/Consumer-Credit-Card-Complaints-By-Zip-Code-Utah-2/hcg8-wswa
    Explore at:
    application/rssxml, csv, application/rdfxml, json, xml, tsvAvailable download formats
    Dataset updated
    Mar 2, 2015
    Dataset authored and provided by
    Consumer Financial Protection Bureauhttp://www.consumerfinance.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Utah
    Description

    Consumer Financial Protection Bureau credit card, mortage and credit reporting complaints by zip code in Utah.

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Share
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Click to copy link
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Close
Cite
Consumer Financial Protection Bureau (2025). Consumer Complaint Database [Dataset]. http://doi.org/10.3886/E230883V1

Consumer Complaint Database

Explore at:
Dataset updated
May 22, 2025
Dataset authored and provided by
Consumer Financial Protection Bureau
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The Consumer Complaint Database is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming a commercial relationship with the consumer, or after 15 days, whichever comes first. Complaints referred to other regulators, such as complaints about depository institutions with less than $10 billion in assets, are not published in the Consumer Complaint Database. The database generally updates daily.

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