Another Round of Crop Insurance; Update From the Policy Design Lab

Another Round of Crop Insurance; Update From the Policy Design Lab

Farmdoc daily
Farmdoc dailyMar 27, 2026

Key Takeaways

  • Midwest counties net premiums, other counties net indemnities
  • Gaines County, TX received $795M more than paid premiums
  • Illinois counties paid $63M more than indemnities received
  • Federal subsidies cover 62.6% of total crop insurance premiums
  • Loss ratios above 1.0 indicate adverse selection in many counties

Summary

The Policy Design Lab released interactive county‑level visualizations of USDA’s crop insurance data for 2014‑2024, highlighting stark geographic imbalances. Midwest counties, such as those in Illinois, consistently pay more in premiums than they receive in indemnities, while counties like Gaines County, Texas have collected roughly $795 million more in payouts than premiums paid. Federal premium subsidies now fund 62.6% of the program, keeping loss ratios above the actuarial target of 1.0 in many high‑risk areas. These patterns raise questions about adverse selection, program sustainability, and the political forces shaping federal crop insurance.

Pulse Analysis

The newly launched county‑level crop insurance maps give analysts unprecedented granularity, allowing them to pinpoint where the federal safety net is over‑ or under‑performing. By visualizing net farmer benefits and loss ratios side by side, the tool reveals that the Midwest—traditionally the nation’s breadbasket—acts as the primary premium source, while regions such as Texas and the Southwest draw disproportionate indemnity payouts. This geographic split challenges the textbook insurance model, where premiums and claims should roughly balance, and underscores the need for data‑driven oversight.

A deeper look shows that more than six‑tenths of all premiums are covered by federal subsidies, effectively insulating the program from market discipline. Such heavy subsidy reliance inflates loss ratios above the 1.0 benchmark, a classic sign of adverse selection where high‑risk farms receive generous payouts while low‑risk participants are under‑priced out. The political architecture of the program—rooted in the 2000 Agriculture Risk Protection Act and reinforced by recent Farm Bill amendments—means that actuarial soundness is achieved only at the aggregate level, masking county‑specific distortions. This dynamic places a substantial burden on taxpayers, estimated at $15.5 billion each fiscal year.

Looking ahead, policymakers face a crossroads. Recent legislative tweaks, including expanded Supplemental Coverage Options (SCO) and the Stacked Income Protection Plan for cotton (STAX), have further deepened subsidy exposure and complicated the risk pool. To restore actuarial balance, reforms could target premium pricing, reduce subsidy rates, or introduce risk‑adjusted premiums that reflect county‑level loss histories. Without such adjustments, the program risks a fiscal cliff or a political backlash that could reshape the federal role in agricultural risk management. Stakeholders—from insurers to farm bureaus—must weigh the trade‑offs between market stability and budgetary responsibility as the debate intensifies.

Another Round of Crop Insurance; Update from the Policy Design Lab

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