IDEAS home Printed from https://ideas.repec.org/p/ags/arpcbr/384742.html
   My bibliography  Save this paper

2025 Farm Bridge Assistance Program Payment Guesstimate Rates

Author

Listed:
  • Zhang, Yifei
  • Arita, Shawn
  • Turner, Dylan

Abstract

In December 2025, the USDA announced up to $11 billion in Farmer Bridge Assistance (FBA) payments to provide temporary support to producers facing market disruptions and increased production costs during the 2025 crop year. This analysis provides a descriptive projection of potential FBA payment rates across major field crops, based on the program structure outlined by USDA and drawing on the methodology used in the 2024 Emergency Commodity Assistance Program. Using national yield, price, and cost-of-production data, we model per-acre economic losses and corresponding FBA payment rates under alternative assumptions regarding yields, prices, and payment constraints. Results show large variations in per-acre payment rates across commodities, with cotton and rice receiving the highest per-acre payments. The analysis also illustrates how changes in yield realizations, price projections, and the application of PLC minimum payment provisions affect the distribution of payments. All estimates are projections intended to inform understanding of potential outcomes prior to USDA’s release of official FBA payment rates.

Suggested Citation

  • Zhang, Yifei & Arita, Shawn & Turner, Dylan, 2025. "2025 Farm Bridge Assistance Program Payment Guesstimate Rates," ARPC Brief 384742, North Dakota State University.
    • Handle: RePEc:ags:arpcbr:384742
    DOI: 10.22004/ag.econ.384742
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/384742/files/ARPC%20Brief%202025%E2%80%9317.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.384742?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:arpcbr:384742. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://www.ndsu.edu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.