County warns legislators of $25 million budget pressure from SNAP and Medicaid funding shifts

County leaders told the North Carolina legislative delegation that recent and proposed policy changes to SNAP and Medicaid will have substantial, recurring budgetary consequences for Cumberland County.

Chair Sharon detailed two principal risks: state or federal changes that lower the state’s administrative match for SNAP from 50% to 25% — which the county estimated would add about $3 million in recurring local costs — and a potential pass-through of SNAP error-rate penalties, which the county estimated could amount to about $22 million annually if the county’s error rate exceeds the cited threshold. Sharon characterized the combined exposure as roughly $25 million and framed it as the largest near-term fiscal risk facing the county.

Delegation members pressed county staff on how the department of social services (DSS) will manage increased verification work without additional positions. County leaders said they had not frozen DSS positions but added that hiring more staff would require additional dollars; staff introduced director Brenda Jackson and assistant managers who will help plan workflows and adjust operations.

Delegates and county officials also discussed Medicaid expansion mechanics, verification and the potential for an automatic repeal trigger. County leaders warned that changes to reimbursement rates or automatic triggers could increase emergency-department demand and strain health and human services, citing observed reductions in ER use after expansion and asking the delegation to consider the county’s fiscal exposure when drafting or voting on related legislation.

County officials said they will provide the delegation more detailed fiscal figures and asked legislators to advocate at the state level to avoid shifting administrative costs onto counties.

No formal action was taken at the meeting; county staff said they will follow up with breakdowns of the fiscal impact and suggested coordination with hospitals to provide empirical data on ED wait times.