Data & Research
This report examines in-depth the accomplishments, challenges, and lessons learned from 20 states that received and completed Administrative Review and Training (ART) Grants by the end of FY 2017. ART Grants provide funding for diverse activities aimed at reducing administrative error, including training for administrative personnel and improving state-level technologies in the National School Lunch and School Breakfast Program.
The Administrative Review is the process state agencies use to assess compliance with federal requirements of SFAs participating in the National School Lunch Program and the School Breakfast Program. This study assesses the AR process by examining the results from a purposive sample of ARs. The study also describes in-depth how nine selected state agencies conduct their ARs, and ways the process could be further improved.
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.
As required by federal law, state SNAP agencies verify financial and non-financial information by matching SNAP applicant and participant information to various national and state data sources to ensure they meet the program’s eligibility criteria. Data matching is an important tool for ensuring program integrity and benefit accuracy. However, information on states’ data matching practices and protocols is limited. This study was undertaken to address this knowledge gap.
WIC Participant and Program Characteristics 2018 summarizes the demographic characteristics of participants nationwide in April 2018. It includes information on participant income and nutrition risk characteristics, estimates breastfeeding initiation rates for WIC infants, and describes WIC members of migrant farm-worker families.
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.
The Study of Food Safety Needs of Adult Day Care Centers in the Child and Adult Care Food Program report identified and evaluated food safety knowledge gaps and education needs of adult day care center program operators. Overall, this study provides information on knowledge gaps related to food safety practices in adult day care centers and illuminates the best way for center staff to receive future food safety training and information support.
This study provides current information on adoption of scanning technology among small SNAP-authorized retailers to assess readiness for meeting the Farm Bill requirement, barriers and benefits to adopting scanning technologies, and costs for nonadopting retailers to comply with this requirement.
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.