Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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
Facebook
TwitterThis 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.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 23 verified Bank businesses in LI with complete contact information, ratings, reviews, and location data.
Facebook
TwitterThe 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
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 107,610 verified Bank businesses in United States with complete contact information, ratings, reviews, and location data.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 21 verified Bank businesses in IM with complete contact information, ratings, reviews, and location data.
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset was created by Ibrahim Zaitoun
Released under Apache 2.0
Facebook
TwitterIn 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.
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 155 verified Bank businesses in ME with complete contact information, ratings, reviews, and location data.
Facebook
TwitterAs 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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 1,600 verified Bank businesses in RS with complete contact information, ratings, reviews, and location data.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
Facebook
TwitterAs 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.
Facebook
TwitterAs 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.
Facebook
TwitterThe 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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Labuan Bank -Listing by Type and Contact
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 ---
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 175 verified Bank businesses in GP with complete contact information, ratings, reviews, and location data.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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