Comprehensive FDIC Public Data on U.S. Bank Institutions and Failures

Short Description

A rich dataset that provides detailed information about FDIC-insured bank institutions, their locations, and historical bank failures in the United States from 1934 to present.

Long Description

Overview

This dataset is compiled from public data provided by the Federal Deposit Insurance Corporation (FDIC). It offers a comprehensive look at FDIC-insured banking institutions, their various events, locations, and a historical account of bank failures in the United States from 1934 to the present day.

Data Files

See the dataset-metadata for file and column descriptions.

Potential Use-Cases

• Risk Assessment: Evaluate the risk factors associated with various banks.
• Historical Analysis: Perform a time-series analysis on bank failures.
• Geographical Insights: Investigate the distribution of bank institutions across different states or regions.
• Regulatory Compliance: Monitor banks that are FDIC insured for compliance with federal laws.

Update Schedule

This dataset is updated daily to reflect the most current data available from the FDIC.

Reporting Issues

If you encounter any issues or discrepancies with the dataset, please report them at our GitHub Issues Page.

Data Source

All data is sourced from the Federal Deposit Insurance Corporation (FDIC).

Licensing

This licensed apache-2.0. Please attribute the source when using this data.

Acknowledgements

We would like to thank the FDIC for making this data publicly available.

Graph and download economic data for Commercial Banks in the U.S. (DISCONTINUED) (USNUM) from Q1 1984 to Q3 2020 about commercial, banks, depository institutions, and USA.

The estimated number of banks and thrifts in the United States fell from around ****** in 1920 to ****** in 1929, when the onset of the Great Depression would then see it fall further, below ****** in 1933. This marks a cumulative decline of over ****** banks and thrifts, which is equal to a drop of more than ** percent in 13 years. Tumultuous Twenties Despite the economic prosperity associated with the Roarin' 1920s in the U.S., it was a tumultuous decade in financial terms, with more separate recessions than any other decade. However, the ***** was also privy to frivolous lending policies among many banks, which saw the banking sector collapse in the wake of the Wall Street Crash in 1929. Many banks failed as the Great Depression and unemployment spread across the country, and customers or businesses could not afford to repay their loans. It was only after this financial crisis where the federal government began keeping more stringent and accurate records on its banking sector, therefore precise figures and the reasons behind these bank failures are not always clear. Franklin D. Roosevelt Just two days after assuming office in 1933, Franklin D. Roosevelt drastically declared a bank holiday, and all banks in the country were closed from ******* until ********. This break allowed Congress to pass the Emergency Banking Act on *******, which saw the Federal Reserve provide deposit insurance for all reopened banks thereafter. Through his first fireside chat, Roosevelt then encouraged Americans to re-deposit their money in the banks again, which successfully restored much of the public's faith in the banking system - it is estimated that over half of the cash withdrawn during the Great Depression was then returned to the banks by ********.

Graph and download economic data for Number of Bank Branches for United States (DDAI02USA643NWDB) from 2004 to 2019 about banks, depository institutions, and USA.

Commercial and Savings Banks Across US

FDIC: Commercial and Savings Banks Across US

By Finance [source]

About this dataset

This dataset from the Federal Deposit Insurance Corporation (FDIC) and Office of Thrift Supervision (OTS) contains deposit data for branches and offices of all FDIC-insured institutions in the United States as of June 30th, 2012. Featuring a wide range of detailed fields such as branch names, zip codes, total deposits, metropolitan statistical area and more—this dataset offers insight into the financial health and performance of US banks. With this data in hand, anyone with an interest in banking can gain knowledge about bank industry trends through time-tested figures associated with each institution. No matter what you're looking to learn about our nation's banks—from consolidated or non-consolidated status to office numbers or FDIC certificate numbers — this comprehensive summary is sure to give you valuable insight into the state of banking across America!

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How to use the dataset

This dataset provides information on the deposits of all FDIC-insured institutions as of June 30th, 2012. The data includes: branch name, institution name, street address, city/state/country, zip code, FDIC certificate number, total deposits in millions and total offices. It also includes the geographical coordinates of branches and offices.

Research Ideas

• Create a risk management system for FDIC-insured institutions by analyzing data regarding deposit trends and identifying areas of potential risk.
• Utilize geographic information of the branches and offices to create a visualization tool showing the spacial distribution of deposits per city, state, or metropolitan statistical area.
• Analyze branch name variables as they relate to total deposits across different banks and evaluate naming patterns that have been successful in driving increased amounts of deposits at certain locations or branches

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: ALL_2012.csv | Column name | Description | |:----------------------------------------|:---------------------------------------| | 2012 | Year of the deposit data (Integer) | | 19048 | FDIC Institution Number (Integer) | | 152 | Office Number (Integer) | | 286690 | Zip Code (Integer) | | Compass Bank | Name of the Bank (String) | | 3805 A1a South | Street Address (String) | | Saint Augustine | City (String) | | St. Johns | County (String) | | FL | State (String) | | 32080 | Zip Code (Integer) | | BRCENM | Branch Name (String) | | CONSOLD | Consolidated/Non-Consolidated (String) | | 11 | Number of Offices/Branches (Integer) | | 33,317 | Deposit Balances in Millions (Integer) | | Los Angeles-Long Beach-Glendale, CA | Metropolitan Statistical Area (String) | | Saint Augustine.1 | City (String) | | United States | Country (String) | | 109 | FDIC Region Number (Integer) | | 300 | Latitude (Integer) |

Acknowledgements

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

The NCUA defines a minority depository institution (MDI) as a federally insured credit union in which a majority of its current members, its board of directors, and the community it services, as designated in its charter, fall within any of the eligible minority groups as described in Section 308 of the Financial Institutions Reform, Recovery and Enforcement Act of 1989: any Black American, Asian American, Hispanic American, or Native American. Credit unions self-designate as MDIs by answering the minority questions on the CUOnline Profile. The NCUA encourages credit unions to determine whether they qualify for MDI certification. This resource allows users to identify those credit unions that meet the MDI criteria.

The H.8 release provides an estimated weekly aggregate balance sheet for all commercial banks in the United States. The release also includes separate balance sheet aggregations for several bank groups: domestically chartered commercial banks; large domestically chartered commercial banks; small domestically chartered commercial banks; and foreign-related institutions in the United States. Foreign-related institutions include U.S. branches and agencies of foreign banks as well as Edge Act and agreement corporations. Published weekly, the release is typically available to the public by 4:15 p.m. each Friday. If Friday is a federal holiday, then the data are released on Thursday.The H.8 release is primarily based on data that are reported weekly by a sample of approximately 875 domestically chartered banks and foreign-related institutions. As of December 2009, U.S. branches and agencies of foreign banks accounted for about 60 of the weekly reporters and domestically chartered banks made up the rest of the sample. Data for domestically chartered commercial banks and foreign-related institutions that do not report weekly are estimated at a weekly frequency based on quarterly Call Report data.

The Uniform Bank Performance Report (UBPR) serves as an analysis of the impact that management and economic conditions can have on a bank's balance sheet. It examines liquidity, adequacy of capital and earnings and other factors that could damage the stability of the bank. The Federal Financial Institutions Examination Council (FFIEC) is a formal U.S. government interagency body that includes five banking regulators—the Federal Reserve Board of Governors (FRB), the Federal Deposit Insurance Corporation (FDIC), the National Credit Union Administration (NCUA), the Office of the Comptroller of the Currency (OCC), and the Consumer Financial Protection Bureau (CFPB). It is "empowered to prescribe uniform principles, standards, and report forms to promote uniformity in the supervision of financial institutions".[1] It also oversees real estate appraisal in the United States.[2] Its regulations are contained in title 12 of the Code of Federal Regulations.

Comprehensive dataset containing 631 verified Financial institution businesses in Arizona, United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 40,905 verified Financial institution businesses in United States with complete contact information, ratings, reviews, and location data.

Bank Rankings by Total Assets

Tracking the Financial Performance of the Top Banks

By Arthur Keen [source]

About this dataset

This dataset contains the top 100 global banks ranked by total assets on December 31, 2017. With a detailed list of key information for each bank's rank, country, balance sheet and US Total Assets (in billions), this data will be invaluable for those looking to research and study the current status of some of the world's leading financial organizations. From billion-dollar mega-banks such as JP Morgan Chase to small, local savings & loans institutions like BancorpSouth; this comprehensive overview allows researchers and analysts to gain a better understanding of who holds power in the world economy today

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Featured Notebooks

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How to use the dataset

This dataset contains the rank and total asset information of the top 100 global banks as of December 31, 2017. It is a useful resource for researchers who wish to study how key financial institutions' asset information relate to each other across countries.

Using this dataset is relatively straightforward – it consists of three columns - rank (the order in which each bank appears in the list), country (the country in which the bank is located) and total assets US billions (the total value expressed in US dollars). Additionally, there is a fourth column containing the balance sheet information for each bank as well.

In order to make full use of this dataset, one should analyse it by creating comparison grids based on different factors such as region, size or ownership structures. This can provide an interesting insight into how financial markets are structured within different economies and allow researchers to better understand some banking sector dynamics that are particularly relevant for certain countries or regions. Additionally, one can compare any two banks side-by-side using their respective balance sheets or distribution plot graphs based on size or concentration metrics by leverage or other financial ratios as well.

Overall, this dataset provides useful resources that can be put into practice through data visualization making an interesting reference point for trends analysis and forecasting purposes focusing on certain banking activities worldwide

Research Ideas

• Analyzing the differences in total assets across countries. By comparing and contrasting data, patterns could be found that give insight into the factors driving differences in banks’ assets between different markets.

• Using predictive models to identify which banks are more likely to perform better based on their balance sheet data, such as by predicting future profits or cashflows of said banks.

• Leveraging the information on holdings and investments of “top-ranked” banks as a guide for personal investments decisions or informing investment strategies of large financial institutions or hedge funds

Acknowledgements

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

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: top50banks2017-03-31.csv | Column name | Description | |:----------------------|:------------------------------------------------------------------------| | rank | The rank of the bank globally based on total assets. (Integer) | | country | The country where the bank is located. (String) | | total_assets_us_b | The total assets of a bank expressed in billions of US dollars. (Float) | | balance_sheet | A snapshot of banking activities for a specific date. (Date) |

File: top100banks2017-12-31.csv | Column name | Description | |:----------------------|:--------------------------------------------...

The Federal Reserve Board compiles quarterly data on domestically chartered insured commercial banks that have consolidated assets of $300 million or more and releases the data about twelve weeks after the end of each quarter. The data are obtained from the Consolidated Reports of Condition and Income filed quarterly by banks (FFIEC 031 and 041) and from other information in the Board's National Information Center database. Banks that are located in U.S. territories and possessions are not included in the table.

United States Financial Institutions: Credit (CR) data was reported at 1,039.008 USD bn in Jun 2019. This records an increase from the previous number of 1,035.813 USD bn for May 2019. United States Financial Institutions: Credit (CR) data is updated monthly, averaging 397.831 USD bn from Jan 1973 (Median) to Jun 2019, with 558 observations. The data reached an all-time high of 1,039.008 USD bn in Jun 2019 and a record low of 9.777 USD bn in Jan 1973. United States Financial Institutions: Credit (CR) data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.KB042: Balance Sheet: Foreign Related Institutions: Monthly.

Customers Reviews on Banks ⭐️

The Reviews on Banks Dataset is a comprehensive collection of 20,000 the most recent customer reviews on 48 US banks. This dataset containing diverse reviews on multiple banks, can be useful for sentiment analysis, assessing geographical variations in customer satisfaction, and exploring customer preferences through textual data. Understanding customer sentiments and preferences helps banks improve their services and address any issues raised by… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/customers-reviews-on-banks.

In 2023, the number of data compromises in the financial services industry in the United States reached 744, up from 138 such incidents in 2020. The financial services sector was the second-most targeted industry by cyber security incidents resulting in data compromise. The number of data compromises includes data breaches, as well as exposure and leakage of private data.

Graph and download economic data for Commercial Banks in the U.S. with average assets under $1B (DISCONTINUED) (US1NUM) from Q1 1984 to Q3 2020 about commercial, assets, banks, depository institutions, and USA.

United States Number of FDIC Insured Inst: Annual: Commercial Banks data was reported at 4,918.000 Unit in 2017. This records a decrease from the previous number of 5,112.000 Unit for 2016. United States Number of FDIC Insured Inst: Annual: Commercial Banks data is updated yearly, averaging 13,312.500 Unit from Dec 1934 (Median) to 2017, with 84 observations. The data reached an all-time high of 14,496.000 Unit in 1984 and a record low of 4,918.000 Unit in 2017. United States Number of FDIC Insured Inst: Annual: Commercial Banks data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s USA – Table US.KB012: Financial Data: Federal Deposit Insurance Corporation: Insured Institutions.

Data was obtained from FDIC bank records API and the FDIC Bank List, combined and cleaned with Big Query SQL. The data covers a range from October 1 2020 to July 25 2023.

Column Value Definitions

Bank_Name string This is the legal name of the institution. When available, the Institution's name links to useful information for the customers and vendors of these institutions. This information includes press releases, information about the acquiring institution, (if applicable), how your accounts and loans are affected, and how vendors can file claims against the receivership.
CERT string The certificate number assigned by the FDIC used to identify institutions and for the issuance of insurance certificates.
CITY and STATE string

The city and state (or territory) of the headquarters of the institution.
Closing_Date (effective date) string

The date that the failed institution ceased to exist as a privately held going concern. For institutions that entered into government ownership, such as FDIC Bridge Banks and RTC conservatorships, this is the date that they entered into such ownership.
Total_Deposits number

Total including demand deposits, money market deposits, other savings deposits, time deposits and deposits in foreign offices as of the last Call Report or Thrift Financial Report filed by the institution prior to the effective date. Note this does not necessarily reflect total deposits on the last report filed because in some cases reports were filed after the effective date.
Total_Assets number

The total assets owned by the institution including cash, loans, securities, bank premises and other assets as of the last Call Report or Thrift Financial Report filed by the institution prior to the effective date. Note this does not necessarily reflect total assets on the last report filed because in some cases reports were filed after the effective date. This total does not include off-balance-sheet accounts.
Acquiring_Institution string

When a bank fails and is closed by regulators, the FDIC is responsible for managing the resolution process. In many cases, the FDIC will find another healthy financial institution to take over the failed bank's operations. This acquiring institution, often referred to as the "acquirer," assumes the assets and liabilities of the failed bank and continues to serve the bank's customers.
Estimated_Loss number

The estimated loss is the difference between the amount disbursed from the Deposit Insurance Fund (DIF) to cover obligations to insured depositors and the amount estimated to be ultimately recovered from the liquidation of the receivership estate. Estimated losses reflect unpaid principal amounts deemed unrecoverable and do not reflect interest that may be due on the DIF's administrative or subrogated claims should its principal be repaid in full. Notes: Comprehensive data on estimated losses are not available for FDIC-insured failures prior to 1986, or for FSLIC-insured failures from 1934-88. Estimated loss is presented as "N/A" in years for which comprehensive information is not available. Estimated Loss data was previously referred to as 'Estimated Cost' in past releases of the Historical Statistic on Banking. For RTC receiverships, the 'Estimated Cost' included an allocation of FDIC corporate revenue and expense items such as interest expense on Federal Financing Bank debt, interest expense on escrowed funds and interest revenue on advances to receiverships. Other FDIC receiverships did not include such an allocation. To maintain consistency with FDIC receiverships, the RTC allocation is no longer reflected in the estimated loss amounts for failed / assisted institutions that were resolved through RTC receiverships. Beginning with the release of 2007 information, the 'Estimated Loss' in the Historical Statistics on Banking is presented and defined consistently with the aggregate Estimated Receivership Loss for FRF-RTC institutions and Estimated Losses for FDIC receiverships that are reported in the FDIC's Annual Report. The estimated loss is obtained from the FDIC's Failed Bank Cost Analysis (FBCA) report and the RTC Loss report. The FBCA provides data for receiverships back to 1986. The RTC Loss Report provides similar data back to 1989. Questions regarding Estimated Loss should be sent to DOFBusinessCenter@fdic.gov. Also, for more detail regarding resolution transactions and the FDIC's receivership activities, see Managing the Crisis: The FDIC and RTC Experience, a historical study prepared by the FDIC's Division of Resolutions and Receiverships. Copies are available from the FDIC's Public Information Center.
*information obtained from FDIC data documentation

United States Financial Institutions: sa: Deposits: Others data was reported at 291.216 USD bn in Jun 2019. This records an increase from the previous number of 287.077 USD bn for May 2019. United States Financial Institutions: sa: Deposits: Others data is updated monthly, averaging 17.067 USD bn from Jan 1973 (Median) to Jun 2019, with 558 observations. The data reached an all-time high of 325.978 USD bn in Oct 2017 and a record low of 3.335 USD bn in Aug 1982. United States Financial Institutions: sa: Deposits: Others data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.KB042: Balance Sheet: Foreign Related Institutions: Monthly.

Xtract.io's bank location data delivers a comprehensive geographical snapshot of the United States banking infrastructure. This dataset provides financial institutions, market researchers, and business strategists with granular insights into the distribution of top banks and their ATM networks. By mapping precise locations, organizations can analyze market penetration, identify potential expansion opportunities, and develop targeted marketing strategies. The data supports competitive intelligence, demographic studies, and strategic planning across the financial services landscape.

Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive landscape.

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