100+ datasets found
  1. Failed Bank List

    • kaggle.com
    zip
    Updated Jul 21, 2024
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    Umair Hayat (2024). Failed Bank List [Dataset]. https://www.kaggle.com/datasets/umairhayat/false-bank-list
    Explore at:
    zip(15013 bytes)Available download formats
    Dataset updated
    Jul 21, 2024
    Authors
    Umair Hayat
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Welcome to the FDIC Bank Failures Dataset! This dataset provides a comprehensive list of banks that have failed and were appointed receivers by the Federal Deposit Insurance Corporation (FDIC) since October 1, 2000. This dataset is an invaluable resource for financial analysts, researchers, and policymakers interested in studying trends and patterns in bank failures, analyzing the impact on financial stability, and understanding the broader economic implications.

    Dataset Features:

    Data Size and Format: This dataset includes information on 500+ bank failures and is available in [CSV] format.

    Key Attributes: The dataset contains the following attributes:

    Bank Name: Name of the failed bank. City: City where the bank was headquartered. State: State where the bank was headquartered. Cert: Bank Certificate Number. Closing Date: Date on which the FDIC officially closed the bank. Acquiring Institution: Name of the institution that acquired the failed bank, if applicable. Fund: Total assets of the bank at the time of failure (in USD).

    Time Period: The data covers bank failures from October 1, 2000, to the present, allowing for a detailed longitudinal analysis of financial distress and recovery over the years.

    Source: This dataset is compiled from FDIC records and publicly available data on bank failures.

    Use Cases:

    This dataset is suitable for various analytical and research purposes, including:

    Trend Analysis: Examine trends in bank failures over time and assess the impact of economic cycles. Financial Stability Research: Analyze factors contributing to bank failures and the effectiveness of regulatory measures. Predictive Modeling: Develop models to predict potential future failures based on historical data. Policy Analysis: Evaluate the role and effectiveness of FDIC interventions in managing bank failures.

    Data Privacy: Although the dataset is publicly available, ensure that you handle and interpret the data responsibly and ethically.

    Community and Support:

    For questions, comments, or issues related to the dataset, please use the Kaggle discussion forums.

    We hope this dataset provides valuable insights and supports your analyses of bank failures and financial stability. Happy analyzing!

    Keywords: #bank failures, #FDIC, #financial stability, #economic research, #banking crisis

  2. FDIC Failed Bank List

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). FDIC Failed Bank List [Dataset]. https://www.johnsnowlabs.com/marketplace/fdic-failed-bank-list/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Area covered
    United States
    Description

    This dataset contains the Information for the customers and vendors of failed banks including detailed transaction information. Additional resources for borrowers, depositors, creditors, court clerks and law enforcement agencies.

  3. Largest-Banks

    • kaggle.com
    Updated Jun 21, 2023
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    D Rahulsingh (2023). Largest-Banks [Dataset]. https://www.kaggle.com/datasets/drahulsingh/largest-banks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    Kaggle
    Authors
    D Rahulsingh
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F14601120%2F790e0fafac701e19fea2b0f70a19a15d%2F12085313_20944139.jpg?generation=1687364616018543&alt=media" alt=""> The ranking is based on the S&P Global Market Intelligence study on the world's 100 largest banks from April 2023. The ranking was based on reported assets and did not account for varied accounting practises.

  4. p

    Banks Business Data for LI

    • poidata.io
    csv, json
    Updated Nov 26, 2025
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    Business Data Provider (2025). Banks Business Data for LI [Dataset]. https://poidata.io/report/bank/li
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    LI
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 23 verified Bank businesses in LI with complete contact information, ratings, reviews, and location data.

  5. g

    Global Names Usage Bank

    • gbif.org
    • demo.gbif.org
    • +1more
    Updated May 13, 2015
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    Global Names Architecture (2015). Global Names Usage Bank [Dataset]. http://doi.org/10.15468/pwn0bl
    Explore at:
    Dataset updated
    May 13, 2015
    Dataset provided by
    GBIF
    Global Names Architecture
    Description

    The Global Names Usage Bank (GNUB) is one of the two major indexes within the Global Names Architecture (GNA). Referred to as the “clean bucket” of taxon names, the core object is a “Taxon Name Usage” (TNU; records representing the usage of a particular

  6. p

    Banks Business Data for United States

    • poidata.io
    csv, json
    Updated Oct 11, 2025
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    Business Data Provider (2025). Banks Business Data for United States [Dataset]. https://www.poidata.io/report/bank/united-states
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Oct 11, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 107,610 verified Bank businesses in United States with complete contact information, ratings, reviews, and location data.

  7. p

    Banks Business Data for IM

    • poidata.io
    csv, json
    Updated Nov 16, 2025
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    Business Data Provider (2025). Banks Business Data for IM [Dataset]. https://poidata.io/report/bank/im
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 16, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    IM
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 21 verified Bank businesses in IM with complete contact information, ratings, reviews, and location data.

  8. FDIC_ Failed Bank List

    • kaggle.com
    zip
    Updated Jan 30, 2024
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    Ibrahim Zaitoun (2024). FDIC_ Failed Bank List [Dataset]. https://www.kaggle.com/datasets/ibrahimzaitoun/fdic-failed-bank-list
    Explore at:
    zip(56874 bytes)Available download formats
    Dataset updated
    Jan 30, 2024
    Authors
    Ibrahim Zaitoun
    License

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

    Description

    Dataset

    This dataset was created by Ibrahim Zaitoun

    Released under Apache 2.0

    Contents

  9. Share of listed banks loan H2 2022-H1 2023, by industry

    • statista.com
    Updated Jul 8, 2025
    + more versions
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    Statista (2025). Share of listed banks loan H2 2022-H1 2023, by industry [Dataset]. https://www.statista.com/statistics/1456471/china-loan-breakdown-of-listed-banks-by-industry/
    Explore at:
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In the first half of 2023, Chinese listed banks had around ** percent of their loans allocated to the leasing and business service industry. Listed banks in China hold around half of their assets in customer loans. Among the ***** types of listed banks, city and rural commercial banks had the highest ROA.

  10. The World's Largest Bank Dataset

    • kaggle.com
    zip
    Updated Feb 9, 2024
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    Mannat Pruthi (2024). The World's Largest Bank Dataset [Dataset]. https://www.kaggle.com/datasets/mannatpruthi/the-worlds-largest-bank-dataset
    Explore at:
    zip(66818 bytes)Available download formats
    Dataset updated
    Feb 9, 2024
    Authors
    Mannat Pruthi
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    World
    Description

    DESCRIPTION The following list shows the largest banks in the world ranked by total assets. The top 10 banks hold over $26 trillion.

    SUMMARY This dataset contains a list of the world's largest banks.

  11. p

    Banks Business Data for ME

    • poidata.io
    csv, json
    Updated Nov 14, 2025
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    Business Data Provider (2025). Banks Business Data for ME [Dataset]. https://poidata.io/report/bank/me
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Nov 14, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    ME
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 155 verified Bank businesses in ME with complete contact information, ratings, reviews, and location data.

  12. ROA of listed banks Vietnam Q2 2024

    • statista.com
    Updated Nov 27, 2025
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    Statista (2025). ROA of listed banks Vietnam Q2 2024 [Dataset]. https://www.statista.com/statistics/1336317/vietnam-return-on-assets-of-banks/
    Explore at:
    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Vietnam
    Description

    As of the second quarter of 2024, Techcombank, also known as Vietnam Technological and Commercial Joint-stock Bank, recorded the highest return on assets (ROA) among major banks in Vietnam, reaching around *** percent. By comparison, the National Citizen Commercial Joint Stock Bank had a ROA of **** percent in the same year, the lowest among the listed banks in the country.

  13. p

    Banks Business Data for RS

    • poidata.io
    csv, json
    Updated Nov 21, 2025
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    Business Data Provider (2025). Banks Business Data for RS [Dataset]. https://poidata.io/report/bank/rs
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 21, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    RS
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 1,600 verified Bank businesses in RS with complete contact information, ratings, reviews, and location data.

  14. FDCI Failed Bank List

    • kaggle.com
    zip
    Updated Mar 17, 2023
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    Nidhi Sharma (2023). FDCI Failed Bank List [Dataset]. https://www.kaggle.com/datasets/nidzsharma/failed-bank
    Explore at:
    zip(14919 bytes)Available download formats
    Dataset updated
    Mar 17, 2023
    Authors
    Nidhi Sharma
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The FDIC is often appointed as receiver for failed banks. The Federal Deposit Insurance Corporation (FDIC) is an independent agency created by the Congress to maintain stability and public confidence in the nation's financial system. The FDIC insures deposits; examines and supervises financial institutions for safety, soundness, and consumer protection; makes large and complex financial institutions resolvable; and manages receiverships.

  15. Net interest margin of the selected listed banks in China 2020

    • statista.com
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    Statista, Net interest margin of the selected listed banks in China 2020 [Dataset]. https://www.statista.com/statistics/234080/net-interest-margin-of-the-biggest-listed-chinese-banks/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    China
    Description

    As of 2020, Shenzhen PingAn Bank had a net interest margin of **** percent which was the highest among selected listed banks in China. In a comparison, joint-stock banks had a higher net interest margin than large banks and city and rural commercial banks.

  16. London Stock Exchange (UK): largest banks 2025, by market cap

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). London Stock Exchange (UK): largest banks 2025, by market cap [Dataset]. https://www.statista.com/statistics/324828/biggest-banks-on-the-london-stock-exchange-uk/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    United Kingdom
    Description

    As of February 2025, the largest bank listed on the London Stock Exchange (LSE) was the British-owned *************, with a market cap double that of the ***************************, the second-largest bank on the LSE.

  17. Failed Banks

    • kaggle.com
    zip
    Updated Aug 22, 2023
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    Joakim Arvidsson (2023). Failed Banks [Dataset]. https://www.kaggle.com/datasets/joebeachcapital/failed-banks
    Explore at:
    zip(14931 bytes)Available download formats
    Dataset updated
    Aug 22, 2023
    Authors
    Joakim Arvidsson
    Description

    The FDIC is often appointed as receiver for failed banks. This list includes banks which have failed since October 1, 2000.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

  18. d

    Labuan Bank -Listing by Type and Contact - Dataset - MAMPU

    • archive.data.gov.my
    Updated Dec 19, 2023
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    (2023). Labuan Bank -Listing by Type and Contact - Dataset - MAMPU [Dataset]. https://archive.data.gov.my/data/dataset/labuan-bank-listing-by-type-and-contact
    Explore at:
    Dataset updated
    Dec 19, 2023
    License

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

    Area covered
    Labuan
    Description

    Labuan Bank -Listing by Type and Contact

  19. A

    ‘FDIC Failed Bank List’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Nov 21, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘FDIC Failed Bank List’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-fdic-failed-bank-list-b97b/6d1d5c72/?iid=006-195&v=presentation
    Explore at:
    Dataset updated
    Nov 21, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘FDIC Failed Bank List’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/4cfdbe83-666d-4e72-b8c6-31dbcdd8dbf0 on 12 November 2021.

    --- Dataset description provided by original source is as follows ---

    The FDIC is often appointed as receiver for failed banks. This list includes banks which have failed since October 1, 2000.

    --- Original source retains full ownership of the source dataset ---

  20. p

    Banks Business Data for GP

    • poidata.io
    csv, json
    Updated Nov 17, 2025
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    Business Data Provider (2025). Banks Business Data for GP [Dataset]. https://poidata.io/report/bank/gp
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Nov 17, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    GP
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 175 verified Bank businesses in GP with complete contact information, ratings, reviews, and location data.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Umair Hayat (2024). Failed Bank List [Dataset]. https://www.kaggle.com/datasets/umairhayat/false-bank-list
Organization logo

Failed Bank List

Comprehensive List of Banks That Have Failed by the FDIC S Since October 1, 2000

Explore at:
zip(15013 bytes)Available download formats
Dataset updated
Jul 21, 2024
Authors
Umair Hayat
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

Welcome to the FDIC Bank Failures Dataset! This dataset provides a comprehensive list of banks that have failed and were appointed receivers by the Federal Deposit Insurance Corporation (FDIC) since October 1, 2000. This dataset is an invaluable resource for financial analysts, researchers, and policymakers interested in studying trends and patterns in bank failures, analyzing the impact on financial stability, and understanding the broader economic implications.

Dataset Features:

Data Size and Format: This dataset includes information on 500+ bank failures and is available in [CSV] format.

Key Attributes: The dataset contains the following attributes:

Bank Name: Name of the failed bank. City: City where the bank was headquartered. State: State where the bank was headquartered. Cert: Bank Certificate Number. Closing Date: Date on which the FDIC officially closed the bank. Acquiring Institution: Name of the institution that acquired the failed bank, if applicable. Fund: Total assets of the bank at the time of failure (in USD).

Time Period: The data covers bank failures from October 1, 2000, to the present, allowing for a detailed longitudinal analysis of financial distress and recovery over the years.

Source: This dataset is compiled from FDIC records and publicly available data on bank failures.

Use Cases:

This dataset is suitable for various analytical and research purposes, including:

Trend Analysis: Examine trends in bank failures over time and assess the impact of economic cycles. Financial Stability Research: Analyze factors contributing to bank failures and the effectiveness of regulatory measures. Predictive Modeling: Develop models to predict potential future failures based on historical data. Policy Analysis: Evaluate the role and effectiveness of FDIC interventions in managing bank failures.

Data Privacy: Although the dataset is publicly available, ensure that you handle and interpret the data responsibly and ethically.

Community and Support:

For questions, comments, or issues related to the dataset, please use the Kaggle discussion forums.

We hope this dataset provides valuable insights and supports your analyses of bank failures and financial stability. Happy analyzing!

Keywords: #bank failures, #FDIC, #financial stability, #economic research, #banking crisis

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