The previous version of this memorandum contained incorrect references to state agencies throughout. FNS is correcting this memorandum to remove the incorrect references and so that it more clearly and accurately reflects the federal regulations. This memorandum notifies state agencies and child nutrition program operators of the changes made by OMB to the federal informal procurement method, micro-purchases and the micro-purchase threshold.
FNS disaster nutrition assistance response information
SNAP retailer notice to only accept SNAP benefits for allowable items.
This fact sheet summarizes the methods used in the School Nutrition and Meal Cost Study (SNMCS) to collect, process, and analyze data to estimate the cost of producing reimbursable school meals. The methods were based on approaches used in prior USDA studies.
This fact sheet describes the methods used in the School Nutrition and Meal Cost Study (SNMCS) to collect, process, and analyze data on students’ dietary intakes.
This fact sheet describes the methods used in the School Nutrition and Meal Cost Study (SNMCS) to collect, process, and analyze data to examine nutritional characteristics of school meals.
This factsheet describes the methods used in the School Nutrition and Meal Cost Study (SNMCS) to collect, process, and analyze data to assess plate waste in the school meal programs.
Section 4022 of the Agricultural Act of 2014 authorized and funded the SNAP employment and training (E&T) pilots and the evaluation. The interim summary report presents short-term findings drawn from the 10 pilot-specific interim evaluation reports. The pilot-specific interim reports and issue briefs on early implementation lessons are also available.
Disaster nutrition assistance in Wisconsin.
On Aug. 13, 2021, FNS awarded approximately $2.5 million in SNAP Fraud Framework Implementation Grants to support state agency efforts to improve and expand recipient fraud prevention, detection, and investigation efforts using the procedures, ideas and practices outlined in the SNAP Fraud Framework.