The Banking Bureau of the Department of Insurance Securities and Banking (DISB) regulates District of Columbia Chartered Banks, mortgage companies, and consumer finance companies. The Bureau strives to ensure a sound and thriving financial services community that provides the products, credit, and capital vital to the needs of District of Columbia residents and businesses. DISB charters and regulates District of Columbia banks and other DC depository financial institutions. DISB also regulates non-depository financial institutions such as mortgage lenders and brokers, money transmitters, consumer finance companies, and check cashers. The data is updated as needed.

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

The FFIEC 002 is mandated by the International Banking Act (IBA) of 1978. It collects balance sheet and off-balance-sheet information, including detailed supporting schedule items, from all U.S. branches and agencies of foreign banks. The FFIEC 002S collects information on assets and liabilities of any non-U.S. branch that is managed or controlled by a U.S. branch or agency of a foreign bank.

Forecast: Number of Commercial Bank Branches in the US 2022 - 2026 Discover more data with ReportLinker!

Forecast: Number of Commercial Bank Branches in North America 2022 - 2026 Discover more data with ReportLinker!

The annual Summary of Deposits (SOD) survey data provides a number of opportunities to better understand the status of our banking system. With the holistic aggregations of the Summary Tables, the geographically sensitive Market Share Reports, and the institution-centric Branch Office Deposits, you will be able to see a clear view of where the deposits are and how they changed over time. The Summary of Deposits (SOD) application will be discontinued by the end of 2024. A new and improved SOD application is being developed and is available for preview now. Explore the latest beta version of the application https://banks.data.fdic.gov/bankfind-suite/SOD. The Deposit Market Share is the percentage of deposits an FDIC-insured institution has within a defined geographic market. This data is based on the annual Summary of Deposits (SOD) survey for FDIC-insured institutions as of June 30. The Deposit Market Share and the Pro Forma (HHI) Reports provide information for all institutions within a specific geographic market for a specific time period. The Market Presence and Growth Rate Reports provide similar information, but from the perspective of one institution. All reports provide data back to 1994 and are available by institution or bank holding company.

This report collects information, by country, from U.S. branches and agencies of foreign banks on direct, indirect, and total adjusted claims on foreign residents. The report also collects information about the respondents' direct claims on related non-U.S. offices domiciled in countries other than the home country of the parent bank that are ultimately guaranteed in the home country. A breakdown of adjusted claims on unrelated foreign residents provides exposure information.

Dataset

This dataset was created by neeraj

Released under U.S. Government Works

Contents

The FR 2644 is a balance sheet report that is collected as of each Wednesday from an authorized stratified sample of 875 domestically chartered commercial banks and U.S. branches and agencies of foreign banks. The FR 2644 is the only source of high-frequency data used in the analysis of current banking developments. The FR 2644 collects sample data that are used to estimate universe levels for the entire commercial banking sector in conjunction with data from the quarterly commercial bank Consolidated Reports of Condition and Income (FFIEC 031, FFIEC 041, and FFIEC 051; OMB No. 7100-0036) and the Report of Assets and Liabilities of U.S. Branches and Agencies of Foreign Banks (FFIEC 002; OMB No. 7100-0032) (Call Reports). Data from the FR 2644 and the Call Reports are utilized in construction of weekly estimates of U.S. bank credit, balance sheet data for the U.S. commercial banking sector, and sources and uses of banks' funds, and to analyze current banking developments, including the monitoring of broad credit and funding conditions. The Board publishes the data in aggregate form in the weekly H.8 statistical release, Assets and Liabilities of Commercial Banks in the United States, which is followed closely by other government agencies, the banking industry, financial press, and other users. The H.8 release provides a balance sheet for the commercial banking industry as a whole as well as disaggregated data for three bank groups: large domestically chartered banks, small domestically chartered banks, and U.S. branches and agencies of foreign banks.

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.

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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.

Context

This dataset includes 1,804 banks nationally ranked on the amount of consolidated assets they hold. The set contains 13 attributes. Ignore banks_dataframe.csv, it has an extra index column.

Content

Attribute Information:

1. Bank Name/Holding Co Name: Name of the bank and the holding company
2. Nat'l Rank: Rank based on amount of consolidated assets
3. Bank ID: ID number the government gives to the bank
4. Bank Location: City and State that the bank is located in
5. Charter: Chartering authority and Federal Reserve membership status
   • NAT=Nationally chartered member bank
   • SMB=State-chartered member bank
   • SNM=State-chartered nonmember bank
6. Consol Asset (Mil $): Consolidated assets
7. Domestic Assets (Mil $): Domestic assets
8. Pct Domestic Assets: Domestic assets as a percentage of consolidated assets
9. Pct Cumulative Assets: Cumulative consolidated assets as a percentage of the sum of consolidated assets for all banks
10. Domestic Branches: Amount of domestic branches the bank has
11. Foreign Branches: Amount of foreign branches the bank has
12. IBF: Bank operates an international banking facility (Yes/No)
13. Pct Foreign Owned: Percentage of foreign ownership

The FFIEC 002 is mandated by the International Banking Act (IBA) of 1978. It collects balance sheet and off-balance-sheet information, including detailed supporting schedule items, from all U.S. branches and agencies of foreign banks. The FFIEC 002S collects information on assets and liabilities of any non-U.S. branch that is managed or controlled by a U.S. branch or agency of a foreign bank.

United States US: Branches: per 100,000 Adults: Commercial Banks data was reported at 32.666 Number in 2016. This records a decrease from the previous number of 33.033 Number for 2015. United States US: Branches: per 100,000 Adults: Commercial Banks data is updated yearly, averaging 33.941 Number from Dec 2004 (Median) to 2016, with 13 observations. The data reached an all-time high of 35.898 Number in 2009 and a record low of 32.386 Number in 2014. United States US: Branches: per 100,000 Adults: Commercial Banks data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Banking Indicators. Commercial bank branches are retail locations of resident commercial banks and other resident banks that function as commercial banks that provide financial services to customers and are physically separated from the main office but not organized as legally separated subsidiaries.; ; International Monetary Fund, Financial Access Survey.; Median; Country-specific metadata can be found on the IMF’s FAS website at http://fas.imf.org.

U.S. commercial banks, bank holding companies, including financial holding companies, and Edge Act and agreement corporations (U.S. banks) are required to file the FR 2502q reporting form for their large branches and banking subsidiaries that are located in the United Kingdom or the Caribbean.

The FR 2225 report requests information needed to identify the foreign bank respondent and its fiscal year-end and to determine its capital and assets for purposes of daylight overdraft monitoring. The capital and assets items include the following: capital for the foreign bank parent, capital used by any direct or indirect subsidiary of the respondent that has its own net debit cap, the foreign bank's worldwide capital base calculation, the bank's worldwide assets, and the exchange rate used in the calculation.

This dataset provides a detailed look into transactional behavior and financial activity patterns, ideal for exploring fraud detection and anomaly identification. It contains 2,512 samples of transaction data, covering various transaction attributes, customer demographics, and usage patterns. Each entry offers comprehensive insights into transaction behavior, enabling analysis for financial security and fraud detection applications.

Key Features:

• TransactionID: Unique alphanumeric identifier for each transaction.
• AccountID: Unique identifier for each account, with multiple transactions per account.
• TransactionAmount: Monetary value of each transaction, ranging from small everyday expenses to larger purchases.
• TransactionDate: Timestamp of each transaction, capturing date and time.
• TransactionType: Categorical field indicating 'Credit' or 'Debit' transactions.
• Location: Geographic location of the transaction, represented by U.S. city names.
• DeviceID: Alphanumeric identifier for devices used to perform the transaction.
• IP Address: IPv4 address associated with the transaction, with occasional changes for some accounts.
• MerchantID: Unique identifier for merchants, showing preferred and outlier merchants for each account.
• AccountBalance: Balance in the account post-transaction, with logical correlations based on transaction type and amount.
• PreviousTransactionDate: Timestamp of the last transaction for the account, aiding in calculating transaction frequency.
• Channel: Channel through which the transaction was performed (e.g., Online, ATM, Branch).
• CustomerAge: Age of the account holder, with logical groupings based on occupation.
• CustomerOccupation: Occupation of the account holder (e.g., Doctor, Engineer, Student, Retired), reflecting income patterns.
• TransactionDuration: Duration of the transaction in seconds, varying by transaction type.
• LoginAttempts: Number of login attempts before the transaction, with higher values indicating potential anomalies.

This dataset is ideal for data scientists, financial analysts, and researchers looking to analyze transactional patterns, detect fraud, and build predictive models for financial security applications. The dataset was designed for machine learning and pattern analysis tasks and is not intended as a primary data source for academic publications.

Insured domestically chartered commercial banks and savings associations that have one or more branch offices in a foreign country are required to report balance sheet information for each of their foreign branches on either the Federal Financial Institutions Examination Council (FFIEC) 030 or FFIEC 030S. The Foreign Branch Report of Condition (FFIEC 030) collects information on the structure and geographic distribution of foreign branch assets, liabilities, derivatives, and off-balance-sheet data. The Abbreviated Foreign Branch Report of Condition (FFIEC 030S) collects five financial data items for smaller, less complex branches. The FFIEC 030 is collected annually as of December 31 or quarterly for significant branches as of the last day of each calendar quarter; the FFIEC 030S is an abbreviated reporting form filed annually by smaller institutions. The Federal Reserve receives reports for all foreign branches of U.S. banks, regardless of charter type, on behalf of the U.S. banks' primary federal bank regulatory agency (Board, Federal Deposit Insurance Corporation (FDIC), or Office of the Comptroller of the Currency (OCC) (collectively, the agencies)). The agencies use the FFIEC 030 and FFIEC 030S reports to fulfill their statutory obligation to supervise foreign operations of domestic banks.

Broad-scale station numbers and locations from the US-GLOBEC Georges Bank project access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson acquisition_description="" awards_0_award_nid=54610 awards_0_award_number=unknown GB NSF awards_0_funder_name=National Science Foundation awards_0_funding_acronym=NSF awards_0_funding_source_nid=350 awards_0_program_manager=David L. Garrison awards_0_program_manager_nid=50534 awards_1_award_nid=54626 awards_1_award_number=unknown GB NOAA awards_1_funder_name=National Oceanic and Atmospheric Administration awards_1_funding_acronym=NOAA awards_1_funding_source_nid=352 cdm_data_type=Other comment=Standard Broad-scale Stations As of 28-May-98 Note: standard station numbers are not numbered in geographic order Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/bco-dmo.2329.1 Easternmost_Easting=-65.68 geospatial_lat_max=42.3 geospatial_lat_min=40.3 geospatial_lat_units=degrees_north geospatial_lon_max=-65.68 geospatial_lon_min=-68.99 geospatial_lon_units=degrees_east infoUrl=https://www.bco-dmo.org/dataset/2329 institution=BCO-DMO metadata_source=https://www.bco-dmo.org/api/dataset/2329 Northernmost_Northing=42.3 param_mapping={'2329': {'lat': 'master - latitude', 'lon': 'master - longitude'}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/2329/parameters people_0_affiliation=Woods Hole Oceanographic Institution people_0_affiliation_acronym=WHOI people_0_person_name=Peter H. Wiebe people_0_person_nid=50454 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=Woods Hole Oceanographic Institution people_1_affiliation_acronym=WHOI BCO-DMO people_1_person_name=Robert C. Groman people_1_person_nid=50380 people_1_role=BCO-DMO Data Manager people_1_role_type=related project=GB projects_0_acronym=GB projects_0_description=The U.S. GLOBEC Georges Bank Program is a large multi- disciplinary multi-year oceanographic effort. The proximate goal is to understand the population dynamics of key species on the Bank - Cod, Haddock, and two species of zooplankton (Calanus finmarchicus and Pseudocalanus) - in terms of their coupling to the physical environment and in terms of their predators and prey. The ultimate goal is to be able to predict changes in the distribution and abundance of these species as a result of changes in their physical and biotic environment as well as to anticipate how their populations might respond to climate change. The effort is substantial, requiring broad-scale surveys of the entire Bank, and process studies which focus both on the links between the target species and their physical environment, and the determination of fundamental aspects of these species' life history (birth rates, growth rates, death rates, etc). Equally important are the modelling efforts that are ongoing which seek to provide realistic predictions of the flow field and which utilize the life history information to produce an integrated view of the dynamics of the populations. The U.S. GLOBEC Georges Bank Executive Committee (EXCO) provides program leadership and effective communication with the funding agencies. projects_0_geolocation=Georges Bank, Gulf of Maine, Northwest Atlantic Ocean projects_0_name=U.S. GLOBEC Georges Bank projects_0_project_nid=2037 projects_0_project_website=http://globec.whoi.edu/globec_program.html projects_0_start_date=1991-01 sourceUrl=(local files) Southernmost_Northing=40.3 standard_name_vocabulary=CF Standard Name Table v55 version=1 Westernmost_Easting=-68.99 xml_source=osprey2erddap.update_xml() v1.3

The Senior Loan Officer Opinion Survey on Bank Lending Practices (SLOOS) surveys up to 80 large domestic banks and 24 U.S. branches and agencies of foreign banks. The Federal Reserve generally conducts the survey quarterly, timing it so that results are available for the January/February, April/May, August, and October/November meetings of the Federal Open Market Committee (FOMC). The Federal Reserve occasionally conducts one or two additional surveys during the year. Questions cover changes in the standards and terms of the banks' lending and the state of business and household demand for loans. The survey often includes questions on other topics of current interest. The survey results are released on Mondays after the FOMC meeting.