FNS provides state administrative expense (SAE) funds to state agencies to support administration and oversight of federal child nutrition programs in their state. This study examines the formula used for allocations of SAE funds, identifies factors that influence state agency spending, and presents a series of options for consideration to potentially improve SAE allocations and procedures.

The Child Nutrition Program Operations Study II (CN-OPS II) is a multiyear study that provides FNS with information on current state agency and school food authority policies, practices, and needs related to school nutrition service operations, financial management, meal counting, training and professional standards, food service equipment, and technology. 

FNS conducted a study of the first two years of this demonstration to describe the implementation process and explore the effects on certification, participation, federal reimbursements, and state administrative costs. This report presents the findings from the first year of the demonstration evaluation, school year 2016–17.

The Evaluation of the School Meal Data Collection Process study describes and evaluates the methodologies and processes used by schools, school food authorities and state agencies to collect and report data on three FNS forms used for the federal school meal programs: the Report of School Program Operations (FNS-10), the SFA Verification Collection Report (FNS-742), and the State Agency Direct Certification Rate Data Element Report (FNS-834). In addition to describing the processes, the study identifies potential sources of error when completing the three forms and provides useful practices and recommendations for improving data collection processes.

This report responds to the requirement of PL 110-246 to assess the effectiveness of state and local efforts to directly certify children for free school meals.

This report responds to the requirement of PL 110-246 to assess the effectiveness of state and local efforts to directly certify children for free school meals. Direct certification is a process conducted by the states and by local educational agencies to certify eligible children for free meals without the need for household applications. 

Statistical models were designed to estimate national improper payments due to certification error on an annual basis using district-level data. This enables FNS to update its estimates of national improper payment rates for the NSLP and SBP in future years without having to conduct full rounds of primary data collection.

The Special Nutrition Program Operations Study is a multiyear study designed to provide the Food and Nutrition Service with a snapshot of current state and school food authority policies and practices of the school meal programs, including information on school meal standards, competitive foods standards, professional standards, school lunch pricing and accounting, and Smarter Lunchrooms activities. 

The information in this second year report (school year 2012-13), the first year new lunch standards were implemented, will provide data for observing the improvements resulting from the implementation of the Healthy, Hunger-Free Kids Act. Data was collected from a survey of all state child nutrition directors and a nationally representative sample of school food authorities.

The second Access, Participation, Eligibility and Certification Study (APEC II) included a follow-on report that provided statistically-derived state-level estimates of school meals erroneous payments. However, while APEC II provided a rough indicator of relative risk for groups of states (e.g., higher than average, about average, lower than average), it was not a state-representative direct measure, and creating actual annual measures of such erroneous payments at the state level using APEC methodology is cost-prohibitive. This report explores alternative approaches to developing measurement-based state-specific estimates that are responsive to year-to-year changes in the actual underlying rate in each state. It also provides cost and burden estimates for the implementation of each of these methods.