Low participation rates among low-income people eligible for food stamp benefits have prompted a number of outreach and public education efforts. In 2002, the Food and Nutrition Administration awarded $5 million in grants to community-based organizations in 15 States to investigate how to increase participation among people eligible for food stamp benefits. The evaluation of these grants describes the features and outcomes of these 18 projects.
We are continuing to receive questions regarding procurements in the child nutrition programs, particularly in the National School Lunch and School Breakfast Programs. Attached are the most recently received questions and answers.
We have recently received a series of questions regarding the procurement of automated meal accountability systems in conjunction with the procurement of a food service management company.
Periodically, we receive questions concerning the procurement requirements of 7 CFR Parts 3016 and 3019 and certain procurement procedures used by public and nonprofit school food authorities. Attached are a number of these recent questions and their corresponding answers.
Most discussion of payment accuracy in the Food Stamp Program focuses on the overall level and cost of payment errors. Rarely does the discussion focus on the impact of payment errors on individual households affected. This analysis – based on 2003 food stamp quality control data – leads to two broad conclusions. First, virtually all households receiving food stamps are eligible. Thus, the problem of erroneous payments is not so much one of determining eligibility, but rather one of attempting to finely target benefits to the complicated and changing circumstances of low-income households. Second, most overpayments to eligible households are small relative to household income and official poverty standards. As a result, most food stamp households are poor, and they remain poor even when overpaid.
The Child Nutrition and WIC Reauthorization Act of 2004 directed the Secretary of Agriculture to conduct a study of the feasibility of using computer technology (including data mining) to reduce over certification, waste, fraud and abuse in the National School Lunch Program.