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Social services warns SNAP funding shift, error‑rate penalties could raise local costs
Summary
Essex County social services reported that federal SNAP administrative funding will drop from 50% to 25%, potentially increasing local costs; staff estimated a roughly $114,000 local exposure for Essex and described state plans to purchase AI tools to reduce error rates.
Candace, who presented the social services report to the board, summarized state and federal changes to SNAP administrative funding and their potential local impacts.
She said the federal share for SNAP administrative costs is scheduled to drop from 50% to 25%, shifting more responsibility to the state and possibly to localities. Using available estimates, she said the first nine‑month impact statewide could be about $73 million and a full 12‑month exposure about $87 million if the state does not assume a portion of the reduction; for Essex County she estimated approximately $114,000 annually under the scenario she described.
Candace also briefed the board on Virginia’s SNAP error‑rate audit. She said a federal audit found Virginia’s error rate at 11.5% and that penalties apply for rates above 6%, describing a 15% penalty figure in the briefing. She explained that many errors stem from unreported household changes and that localities have limited control because the responsibility often rests with clients to report changes.
To reduce error rates, Candace said Virginia allocated $2.5 million toward proactive quality‑control AI tools for localities. She said the state hopes to select a vendor by November with rollout 30–60 days later. Essex County plans to purchase an interim program at roughly $100 per month to secure client verifications until the state tool is available.
Board members asked for clarification about what constitutes an error and whether penalties would be assessed individually by locality; Candace said the state’s reported 11.5% is a statewide rate and penalties would be distributed accordingly, which could affect even localities with low local error rates.
