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Trump Administration Threatens to Withhold SNAP Funds From States Including Wisconsin
The Trump administration demands personal data from SNAP recipients to investigate fraud and threatens to cut Wisconsin’s $81 million federal funding for program administration.
- On Dec. 2, 2025, the Trump administration warned it will withhold SNAP administrative funds from mainly Democratic-led states, including Wisconsin, unless they provide personal recipient data to investigate alleged fraud.
- In May, Brooke Rollins ordered states to provide detailed recipient files to the USDA, but many Democratic-led states refused and Twenty-two states sued, delaying response until Dec. 8.
- In Wisconsin, about 700,000 people rely on FoodShare; the state received $81 million in administrative funds in 2023, while about $110 million per month in benefits and EBT card funds remain safe.
- Wisconsin Attorney General Josh Kaul joined a multi-state lawsuit to block the data request, while some states scrambled to fund benefits and boosted food banks amid the dispute.
- SNAP serves over 42 million Americans with about $190 average monthly benefit, while the USDA says illegal trafficking fell from 4% to 1% over 15 years, and experts highlight organized crime risks.
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Trump Admin Threatens Blue State SNAP Funds Unless They Turn Over Recipient Data
The Trump administration is again threatening food assistance to the poor. This time, USDA says it will cut states' funds to administer SNAP unless they turn over info about recipients, including names, immigration statuses, and Social Security Numbers.
·United States
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Maine could lose $13 million in federal funds in the latest skirmish over SNAP
Gov. Janet Mills and U.S. Rep. Chellie Pingree have accused the Trump administration of targeting hungry people as it threatens to cut off some SNAP funding to about 20 left-leaning states. But the Trump administration says it needs personal data on all SNAP recipients nationwide to root out fraud and waste in the food stamps program.
Coverage Details
Total News Sources14
Leaning Left5Leaning Right1Center4Last UpdatedBias Distribution50% Left
Bias Distribution
- 50% of the sources lean Left
50% Left
L 50%
C 40%
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