The Department of Government Efficiency (DOGE) has undertaken reviews and taken various actions including workforce reductions at a host of government agencies, including the National Oceanic and Atmospheric Administration (NOAA). There have been a number of individuals raising concerns that some of these actions by DOGE, taken in the name of government efficiency, may in the end reduce the availability and/or the quality of government-provided data sets. The Department of Commerce, for example, oversees the Bureau of Economic Analysis, which produces our national accounts data such as GDP and the Personal Consumption Expenditures Price Index used by the Federal Reserve System as its preferred inflation measure. The Department of Commerce also oversees the U.S. Census Bureau, which produces the Census but also a host of data including the Census of Manufacturing. These data inform research and public policy makers about the state of the economy, and the availability and quality of such data is important on a bipartisan basis. NOAA is also a part of the U.S. Commerce Department.
The recent workforce adjustments at NOAA have raised concerns among various users relying on real-time weather data for daily operations. One such sector is the crop insurance industry, where NOAA’s data plays an integral role in risk assessment and claims processing.
NOAA plays a crucial role in the crop insurance industry by providing essential climate and weather data. From underwriting risk assessments to claims processing, NOAA’s data is deeply integrated into how insurers determine premiums, assess losses, and ensure smooth program operations. Here, we explore the potential consequences of a potential absence of NOAA’s vast weather datasets on the crop insurance program.
Crop insurance plays a vital role in mitigating agricultural risks, providing farmers with financial stability against weather-related challenges. The United States Department of Agriculture (USDA) established the Risk Management Agency (RMA) in 1996 to enhance the accessibility and effectiveness of federal crop insurance as a risk management tool. In collaboration with private insurers, the RMA develops policies that heavily rely on NOAA’s extensive weather data to assess risks, determine premiums, and process indemnity payments. This data is critical for verifying claims related to weather perils such as drought, high temperatures, excess moisture, floods, and extreme cold.
Figure 1 illustrates the indemnity payments made to farmers who experienced losses due to weather-related factors such as drought, high temperatures, excess moisture, and low temperatures. These claims are verified using NOAA data to ensure accuracy in assessing weather-induced damages. A review of indemnity payments from 2001 to 2022 reveals that the majority of payouts were associated with these weather conditions, accounting for approximately 76% of total indemnities issued to farmers.
Figure 1: U.S. Federal Crop Insurance Program indemnified losses by cause (2001-2022)
Source: USDA, RMA
Potential Impacts of Losing NOAA Data
Certain federal insurance products exclusively rely on NOAAs climate monitoring system, making their viability contingent on the agency’s continued data availability. Two examples include Pasture, Rangeland, Forage (PRF) Insurance Program and Hurricane Insurance Protection -Wind Index Endorsement (HIP-WI)
The PRF program provides insurance coverage for perennial forage produced for grazing or haying. It utilizes NOAA’s precipitation data to calculate normal precipitation and deviations from the norm. Producers select specific intervals, known as index intervals, during which precipitation is crucial for forage growth. If the precipitation data for a selected geographical area falls below the index intervals, indemnity payments are triggered.
The HIP-WI endorsement offers coverage for a portion of the deductible of the underlying crop insurance policy when a county, or an adjacent county, is within the area of sustained hurricane-force winds from a named hurricane, as determined by NOAA’s National Hurricane Center (NHC). The endorsement relies on NOAA data to identify counties affected by hurricane-force winds, triggering indemnity payments accordingly.
The loss of NOAA’s datasets would directly threaten these insurance products, potentially leaving farmers and ranchers without essential financial protection.
In addition, the lack of NOAA data could reduce the effectiveness of actuarial calculations, potentially leading to mispriced policies, higher underwriting losses, and decreased participation in the crop insurance market. Although alternative weather data sources exist, they come with higher costs and logistical challenges.
The absence of NOAA data would significantly disrupt the claims verification and indemnity process in crop insurance. Without NOAA’s real-time and historical weather records, insurers would struggle to validate weather-related losses, leading to increased claim disputes and longer processing times leading to higher administrative costs. Farmers may face higher rejection rates, as insurers lack standardized datasets to confirm extreme weather events such as droughts, floods, and hailstorms. As a result, indemnity payouts could be delayed or reduced, leaving farmers financially vulnerable.
Additionally, the Federal Crop Insurance Program incurs costs due to its public-private partnership structure, established through the Standard Reinsurance Agreement. This agreement defines the financial relationship between the federal government and private insurance companies, known as Approved Insurance Providers. Under the SRA, AIPs sell and administer crop insurance policies, while the federal government subsidizes both farmers’ premium costs and insurers’ administrative expenses. Crop insurance premiums are set based on the expected risk of loss. If indemnities (payouts) are consistently high, it signals a higher risk, leading to increased premiums.
NOAA’s weather data is a fundamental pillar of the crop insurance industry, ensuring accurate risk assessment, fair premium pricing, and efficient indemnity processing. The reliance on NOAA’s data extends across multiple aspects of the Federal Crop Insurance Program, from underwriting to claims validation. Without NOAA’s datasets, the industry would face significant challenges, including increased premiums, reduced coverage availability, mispriced policies, and prolonged claim disputes. The financial burden on farmers would intensify, as they might need to seek alternative data sources or endure delayed indemnity payments. Additionally, rising administrative costs and uncertainty in weather risk assessment could jeopardize the stability of the crop insurance market. Therefore, maintaining NOAA’s robust and reliable weather data infrastructure is critical to safeguarding the agricultural sector and ensuring the continued effectiveness of crop insurance programs.