Farmers’ AID Relief Act
- Sponsor
- Rep. Carter, Earl L. "Buddy" [R-GA-1]
- Committees
- Agriculture Committee (primary)
- Last action
- Mar 20, 2026
Bottom line
The bill aims to enhance the accuracy and reliability of data used for hurricane insurance payouts to farmers, particularly when primary data sources are compromised by disaster events.
What it actually does
This bill, titled the "Farmers' AID Relief Act," amends the Federal Crop Insurance Act to specify the data sets the Secretary of Agriculture must use for determining eligibility for Hurricane Insurance Protection-Wind Index (HIP-WI) indemnity payments, starting with crop year 2027. It mandates the primary use of the IBTrACS data set, but allows for an alternative data set compiled from certified land-grant college or university weather stations if the IBTrACS data is incomplete and official weather stations were damaged or provided incomplete data.
Proponents argue
Supporters argue this bill will ensure farmers receive timely and accurate hurricane insurance payments by providing clear guidelines for data usage, especially in disaster scenarios where traditional data collection might be disrupted. They contend that allowing for alternative, certified data sources will prevent delays and unfair denials of claims due to incomplete or damaged official data, thereby strengthening the safety net for agricultural producers facing severe weather events.
Opponents contend
Critics might argue that introducing alternative data sets, even with certification requirements, could potentially introduce inconsistencies or open avenues for disputes regarding data accuracy and interpretation. They might also raise concerns about the administrative burden and cost associated with compiling and maintaining an alternative data set, and whether the specified conditions for its use are sufficiently rigorous to prevent misuse or unintended consequences.
The bill is concise and can be read and understood quickly by an informed reader, making it accessible for evaluation.
Section 2(a) of the bill, amending Section 508 of the Federal Crop Insurance Act (7 U.S.C. 1508) by adding subsection (q).
Hurricane Insurance Protection-Wind Index Endorsement Data Requirements
This provision directs the Secretary of Agriculture, beginning with the 2027 crop year, to use specific data when determining if a county qualifies for a hurricane insurance payment under the HIP-WI program. The primary data source will be the International Best Track Archive for Climate Stewardship (IBTrACS) data set. However, if the IBTrACS data is incomplete and official weather stations or other data sources in or near the affected county were damaged or provided incomplete data, the Secretary can use an alternative data set. This alternative data must be compiled from weather stations operated by land-grant colleges or universities that are certified by the National Weather Service.
Supporters argue
Supporters argue that this provision is crucial for ensuring fairness and efficiency in disaster relief for farmers. By allowing for certified alternative data when primary sources are compromised, it addresses a critical gap in the current system, preventing situations where farmers might be denied payments simply due to damaged infrastructure rather than actual lack of qualifying weather events. This strengthens the agricultural safety net.
Critics contend
Critics might contend that introducing alternative data sources, even with certification, could lead to increased complexity and potential for disputes over data consistency and accuracy. They might argue that relying on non-federal entities for critical data could introduce new vulnerabilities or administrative burdens, potentially leading to higher program costs or inconsistent application of eligibility rules across different regions.
Tradeoffs
The provision balances the need for reliable, consistent data (IBTrACS) with the practical reality of data loss during severe weather events by allowing for certified alternative sources. The tension lies in ensuring the integrity and comparability of alternative data while providing flexibility for farmers in disaster-stricken areas.