84 datasets found
  1. Fedwire Funds Services - Data

    • catalog.data.gov
    Updated Dec 18, 2024
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    Board of Governors of the Federal Reserve System (2024). Fedwire Funds Services - Data [Dataset]. https://catalog.data.gov/dataset/fedwire-funds-services-data
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    The Federal Reserve Banks provide the Fedwire Funds Service, a real-time gross settlement system that enables participants to initiate funds transfer that are immediate, final, and irrevocable once processed. Depository institutions and certain other financial institutions that hold an account with a Federal Reserve Bank are eligible to participate in the Fedwire Funds Services. In 2008, approximately 7,300 participants made Fedwire funds transfers. The Fedwire Funds Service is generally used to make large-value, time-critical payments.The Fedwire Funds Service is a credit transfer service. Participants originate funds transfers by instructing a Federal Reserve Bank to debit funds from its own account and credit funds to the account of another participant. Participants may originate funds transfers online, by initiating a secure electronic message, or off line, via telephone procedures.

  2. Electronic Submission

    • clevelandfed.org
    Updated Oct 10, 2015
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    Federal Reserve Bank of Cleveland (2015). Electronic Submission [Dataset]. https://www.clevelandfed.org/banking-and-payments/electronic-submission
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    Dataset updated
    Oct 10, 2015
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    There are currently several methods of reporting available: data entry and file upload via Reporting Central, file transfer via Central Data Repository for submitting the Call Report data, file upload via Structure Central, and data entry via FR Y-10 Online.

  3. Survey of Consumer Finances

    • federalreserve.gov
    Updated Oct 18, 2023
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    Board of Governors of the Federal Reserve Board (2023). Survey of Consumer Finances [Dataset]. http://doi.org/10.17016/8799
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    Dataset updated
    Oct 18, 2023
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Board of Governors of the Federal Reserve Board
    Time period covered
    1962 - 2023
    Description

    The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

  4. y

    US Total Liabilities in Federal Reserve Bank of Dallas

    • ycharts.com
    html
    Updated Nov 6, 2025
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    Federal Reserve (2025). US Total Liabilities in Federal Reserve Bank of Dallas [Dataset]. https://ycharts.com/indicators/us_total_liabilities_in_federal_reserve_bank_of_dallas
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    htmlAvailable download formats
    Dataset updated
    Nov 6, 2025
    Dataset provided by
    YCharts
    Authors
    Federal Reserve
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Dec 18, 2002 - Nov 5, 2025
    Area covered
    United States
    Variables measured
    US Total Liabilities in Federal Reserve Bank of Dallas
    Description

    View weekly updates and historical trends for US Total Liabilities in Federal Reserve Bank of Dallas. from United States. Source: Federal Reserve. Track e…

  5. y

    US Capital - Surplus in Federal Reserve Bank of Boston

    • ycharts.com
    html
    Updated Nov 6, 2025
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    Federal Reserve (2025). US Capital - Surplus in Federal Reserve Bank of Boston [Dataset]. https://ycharts.com/indicators/us_capital_surplus_in_federal_reserve_bank_of_boston
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    htmlAvailable download formats
    Dataset updated
    Nov 6, 2025
    Dataset provided by
    YCharts
    Authors
    Federal Reserve
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Dec 18, 2002 - Nov 5, 2025
    Area covered
    United States
    Variables measured
    US Capital - Surplus in Federal Reserve Bank of Boston
    Description

    View weekly updates and historical trends for US Capital - Surplus in Federal Reserve Bank of Boston. from United States. Source: Federal Reserve. Track e…

  6. Average Commercial Loan Size, Small Domestic Banks

    • kaggle.com
    zip
    Updated Dec 24, 2019
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    Federal Reserve (2019). Average Commercial Loan Size, Small Domestic Banks [Dataset]. https://www.kaggle.com/federalreserve/average-commercial-loan-size,-small-domestic-banks
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    zip(1430 bytes)Available download formats
    Dataset updated
    Dec 24, 2019
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Federal Reserve
    Description

    Content

    For further information, please refer to the Board of Governors of the Federal Reserve System's E.2 release, online at http://www.federalreserve.gov/releases/e2/about.htm or in the footnotes of the E.2, Survey of Terms of Business Lending Release. These data are collected during the middle month of each quarter and are released in the middle of the succeeding month.

    Context

    This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

    • Update Frequency: This dataset is updated daily.

    • Observation Start: 1997-04-01

    • Observation End : 2017-04-01

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

    Cover photo by kit sanchez on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  7. Data from: Agricultural Finance Databook

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Dec 18, 2024
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    Board of Governors of the Federal Reserve System (2024). Agricultural Finance Databook [Dataset]. https://catalog.data.gov/dataset/agricultural-finance-databook
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    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    The Agricultural Finance Databook is a compilation of various data on current developments in agricultural finance. Large portions of the data come from regular surveys conducted by the Board of Governors of the Federal Reserve System or by Federal Reserve Banks. Other portions come from the quarterly Call Report data of commercial banks or from the reports of other financial institutions involved in agricultural lending. This data is no longer published by the Federal Reserve Board. On October 1, 2010, the E.15 statistical release transitioned from the Board of Governors to the Federal Reserve Bank of Kansas City. You can now find the most current Agricultural Finance Databook at https://www.kansascityfed.org/research/indicatorsdata/agfinancedatabook.

  8. F

    Total Value of Loans by Time that Pricing Terms Were Set and by Commitment,...

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2017
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    (2017). Total Value of Loans by Time that Pricing Terms Were Set and by Commitment, Before Survey Week, More than 365 Days, All Commercial Banks (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/EVTP365PDNQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 4, 2017
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Total Value of Loans by Time that Pricing Terms Were Set and by Commitment, Before Survey Week, More than 365 Days, All Commercial Banks (DISCONTINUED) (EVTP365PDNQ) from Q2 2003 to Q2 2017 about 365 days +, pricing terms, commercial, loans, banks, depository institutions, and USA.

  9. F

    Total Value of Loans by Size of Loan: ($ thousands) $10,000+, Large Domestic...

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2017
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    (2017). Total Value of Loans by Size of Loan: ($ thousands) $10,000+, Large Domestic Banks (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/EV10000PXSLNQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 4, 2017
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Total Value of Loans by Size of Loan: ($ thousands) $10,000+, Large Domestic Banks (DISCONTINUED) (EV10000PXSLNQ) from Q2 1997 to Q2 2017 about domestic, loans, banks, depository institutions, and USA.

  10. F

    Weighted-Average Risk Rating by Size of Loan ($ thousands): $10,000+,...

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2017
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    (2017). Weighted-Average Risk Rating by Size of Loan ($ thousands): $10,000+, Domestic Banks (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/ER10000PXDBNQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 4, 2017
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Weighted-Average Risk Rating by Size of Loan ($ thousands): $10,000+, Domestic Banks (DISCONTINUED) (ER10000PXDBNQ) from Q2 1997 to Q2 2017 about weighted-average, average, domestic, loans, banks, depository institutions, rate, and USA.

  11. c

    Clicking for Credit: Experiences of Online Lender Applicants from the Small...

    • clevelandfed.org
    Updated Aug 16, 2022
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    Federal Reserve Bank of Cleveland (2022). Clicking for Credit: Experiences of Online Lender Applicants from the Small Business Credit Survey [Dataset]. https://www.clevelandfed.org/publications/cd-reports/2022/sr-20220816-clicking-for-credit-experiences-of-online-lender-applicants-from-sbcs
    Explore at:
    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Federal Reserve Bank of Cleveland
    Description

    This report presents findings on the experiences of small businesses seeking credit from online lenders, based on data from the 2021 Small Business Credit Survey (SBCS). According to findings, firms that apply to online lenders are more likely to be newer and have fewer employees, lower revenues, and weaker credit scores. In addition, Black- and Hispanic-owned firms are more likely than white- and Asian-owned firms to report that they applied to an online lender. Furthermore, contrary to prior SBCS findings, online-lender applicants were less likely than bank applicants to be approved for the full amount of financing they sought. Generally, online-lender applicants reported lower overall satisfaction with their lenders than did bank applicants. Overall, approved applicants cited fewer challenges with their lender experiences than did applicants that were denied. The only exception was at online lenders, where approved applicants were more likely than denied applicants to cite challenges with high interest rates and unfavorable repayment terms.

  12. y

    US Total Assets Held by Federal Reserve Bank of Dallas

    • ycharts.com
    html
    Updated Nov 6, 2025
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    Federal Reserve (2025). US Total Assets Held by Federal Reserve Bank of Dallas [Dataset]. https://ycharts.com/indicators/us_total_assets_held_by_federal_reserve_bank_of_dallas
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 6, 2025
    Dataset provided by
    YCharts
    Authors
    Federal Reserve
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Dec 18, 2002 - Nov 5, 2025
    Area covered
    United States
    Variables measured
    US Total Assets Held by Federal Reserve Bank of Dallas
    Description

    View weekly updates and historical trends for US Total Assets Held by Federal Reserve Bank of Dallas. from United States. Source: Federal Reserve. Track e…

  13. Internet access varies markedly within the region served by the Cleveland...

    • clevelandfed.org
    Updated Dec 8, 2016
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    Federal Reserve Bank of Cleveland (2016). Internet access varies markedly within the region served by the Cleveland Fed, say Fed researchers [Dataset]. https://www.clevelandfed.org/collections/press-releases/2016/pr-20161208-internet-access-varies
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    Dataset updated
    Dec 8, 2016
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    LMI areas — urban and rural — generally have fewer households with internet access than do higher-income areas.

  14. y

    US Total Liabilities Held by All Federal Reserve Banks

    • ycharts.com
    html
    Updated Nov 6, 2025
    + more versions
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    Federal Reserve (2025). US Total Liabilities Held by All Federal Reserve Banks [Dataset]. https://ycharts.com/indicators/us_total_liabilities_held_by_all_federal_reserve_banks
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 6, 2025
    Dataset provided by
    YCharts
    Authors
    Federal Reserve
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Dec 18, 2002 - Nov 5, 2025
    Area covered
    United States
    Variables measured
    US Total Liabilities Held by All Federal Reserve Banks
    Description

    View weekly updates and historical trends for US Total Liabilities Held by All Federal Reserve Banks. from United States. Source: Federal Reserve. Track e…

  15. Data from: Reflections: Now Is the Time to Close the Digital Divide

    • clevelandfed.org
    Updated Dec 16, 2022
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    Federal Reserve Bank of Cleveland (2022). Reflections: Now Is the Time to Close the Digital Divide [Dataset]. https://www.clevelandfed.org/collections/essays/2022/rf-20221216-reflections-now-time-close-digital-divide
    Explore at:
    Dataset updated
    Dec 16, 2022
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    The views expressed here are my own and not necessarily those of the Federal Reserve System or my colleagues on the Federal Open Market Committee.

  16. F

    Percent of Value of Loans Secured by Collateral by Size of Loan: ($...

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2017
    + more versions
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    (2017). Percent of Value of Loans Secured by Collateral by Size of Loan: ($ thousands) $10,000+, Domestic Banks (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/ES10000PXDBNQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 4, 2017
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Percent of Value of Loans Secured by Collateral by Size of Loan: ($ thousands) $10,000+, Domestic Banks (DISCONTINUED) (ES10000PXDBNQ) from Q2 1997 to Q2 2017 about collateral, domestic, securities, percent, loans, banks, depository institutions, and USA.

  17. F

    Percent of Value of Loans, Made Under Participation or Syndication, by Time...

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2017
    + more versions
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    (2017). Percent of Value of Loans, Made Under Participation or Syndication, by Time that Pricing Terms Were Set and by Commitment, 91 to 365 Days Before Survey Week, Domestic Banks (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/EFTP91T365DXDBNQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 4, 2017
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Percent of Value of Loans, Made Under Participation or Syndication, by Time that Pricing Terms Were Set and by Commitment, 91 to 365 Days Before Survey Week, Domestic Banks (DISCONTINUED) (EFTP91T365DXDBNQ) from Q3 2012 to Q2 2017 about 91 to 365 days, syndication, pricing terms, participation, domestic, percent, loans, banks, depository institutions, and USA.

  18. F

    Percent of Value of Loans Subject to Prepayment Penalty by Time that Pricing...

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2017
    + more versions
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    (2017). Percent of Value of Loans Subject to Prepayment Penalty by Time that Pricing Terms Were Set and by Commitment, During Survey Week, Not Under Commitment, All Commercial Banks (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/EPTSNNQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 4, 2017
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Percent of Value of Loans Subject to Prepayment Penalty by Time that Pricing Terms Were Set and by Commitment, During Survey Week, Not Under Commitment, All Commercial Banks (DISCONTINUED) (EPTSNNQ) from Q2 2003 to Q2 2017 about pricing terms, commercial, percent, loans, banks, depository institutions, and USA.

  19. F

    Percent of Value of Loans Secured by Collateral for 2 to 30 Days, All...

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2017
    + more versions
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    (2017). Percent of Value of Loans Secured by Collateral for 2 to 30 Days, All Commercial Banks (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/ESSNQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 4, 2017
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Percent of Value of Loans Secured by Collateral for 2 to 30 Days, All Commercial Banks (DISCONTINUED) (ESSNQ) from Q2 1997 to Q2 2017 about 2 to 30 days, collateral, commercial, securities, percent, loans, banks, depository institutions, and USA.

  20. F

    Percent of Value of Loans Subject to Prepayment Penalty for 2 to 30 Days,...

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2017
    + more versions
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    (2017). Percent of Value of Loans Subject to Prepayment Penalty for 2 to 30 Days, Large Domestic Banks (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/EPSXSLNQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 4, 2017
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Percent of Value of Loans Subject to Prepayment Penalty for 2 to 30 Days, Large Domestic Banks (DISCONTINUED) (EPSXSLNQ) from Q2 1997 to Q2 2017 about 2 to 30 days, domestic, percent, loans, banks, depository institutions, and USA.

Share
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Email
Click to copy link
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Close
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Board of Governors of the Federal Reserve System (2024). Fedwire Funds Services - Data [Dataset]. https://catalog.data.gov/dataset/fedwire-funds-services-data
Organization logoOrganization logo

Fedwire Funds Services - Data

Explore at:
Dataset updated
Dec 18, 2024
Dataset provided by
Federal Reserve Board of Governors
Federal Reserve Systemhttp://www.federalreserve.gov/
Description

The Federal Reserve Banks provide the Fedwire Funds Service, a real-time gross settlement system that enables participants to initiate funds transfer that are immediate, final, and irrevocable once processed. Depository institutions and certain other financial institutions that hold an account with a Federal Reserve Bank are eligible to participate in the Fedwire Funds Services. In 2008, approximately 7,300 participants made Fedwire funds transfers. The Fedwire Funds Service is generally used to make large-value, time-critical payments.The Fedwire Funds Service is a credit transfer service. Participants originate funds transfers by instructing a Federal Reserve Bank to debit funds from its own account and credit funds to the account of another participant. Participants may originate funds transfers online, by initiating a secure electronic message, or off line, via telephone procedures.

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