The Trump administration says SNAP is rife with fraud and waste. Is it? – Image for illustrative purposes only (Image credits: nvmwebsites-budwg5g9avh3epea.z03.azurefd.net)
Millions of Americans count on SNAP benefits each month to buy groceries, yet recent federal data shows states are making mistakes in more than one in ten payments. The latest USDA figures for fiscal year 2025 put the national payment error rate at 10.62 percent, well above the 6 percent threshold Congress set years ago. Those mistakes translate into roughly $10 billion in benefits that went to the wrong households or in the wrong amounts. Families who qualify may receive too little, while some ineligible recipients collect aid that should have gone elsewhere.
What the Numbers Actually Measure
Payment error rates track how accurately states determine eligibility and calculate benefit levels. They capture both overpayments and underpayments. Most stem from simple administrative slips, such as outdated income records or paperwork errors, rather than deliberate fraud. The USDA itself notes that these rates do not equate to intentional misuse of funds. Still, the cumulative impact reaches billions because SNAP serves more than 40 million people and distributes over $100 billion annually. States vary widely in performance. Alaska posted the highest rate at 23 percent, while South Dakota recorded just 2.4 percent. The national figure represents a modest improvement from the prior year but remains more than triple the low point achieved before the pandemic disrupted verification processes.
Administration Response and New Rules
The Trump administration has moved quickly to tie state performance to funding consequences. Under the One Big Beautiful Bill Act passed in 2025, states with persistently high error rates must begin covering a share of benefit costs starting in fiscal year 2028. The required match ranges from zero to 15 percent depending on how far a state exceeds the threshold. Officials argue this shift will encourage better oversight and reduce waste without cutting benefits for eligible recipients. Lawmakers have also pressed states that failed to share data requested by the USDA for fraud detection efforts. Several large states received letters seeking explanations for their lack of cooperation. Proponents say tighter accountability will protect taxpayer dollars and ensure aid reaches those who truly need it.
Practical Effects on Recipients and States
For households, an error can mean a sudden change in monthly allotments or a temporary loss of benefits while paperwork is corrected. Recipients in states with high error rates may face more frequent reviews or delays. On the state side, new matching requirements could strain budgets already stretched by other priorities, potentially leading to higher administrative spending or program adjustments. Experts emphasize that robust quality control systems already exist. States conduct regular audits, and the USDA applies statistical sampling to estimate national rates. The challenge lies in maintaining accuracy amid fluctuating caseloads, economic shifts, and varying state resources.
Looking Ahead
States now have until late 2027 to demonstrate improvement or prepare for cost-sharing. Some may invest in better technology and training, while others could tighten eligibility verification. The outcome will shape how efficiently SNAP operates for years to come and determine whether the current error levels persist or decline toward historical benchmarks.
AI Disclaimer: This article was created with the assistance of AI tools and reviewed by a human editor.