Data & Research
This report examines the impact of using Medicaid data to directly certify students for free and reduced-price school meals in the National School Lunch and School Breakfast Programs in 15 states in school year 2017-18. Certification, participation and reimbursement outcomes for Cohort 1 states in their second year of implementation and Cohort 2 states in their first year of implementation are discussed.
The biennial WIC Participant and Program Characteristics Report describes a census of all participants in WIC. The most recent report (PC 2016) reflects state management information systems data from April 2016, and this Food Package Report is a supplemental analysis of that data. While PC 2016 summarizes participant characteristics, this report summarizes the food packages, or prescriptions, that state agencies issued to these participants.
WIC Participant and Program Characteristics 2016 (PC 2016) summarizes the demographic characteristics of participants in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) nationwide in April 2016. 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. PC 2016 is the most recent in a series of reports generated from WIC state management information system data biennially since 1992.
WIC Participant and Program Characteristics 2014 (PC 2014) summarizes the demographic characteristics of participants in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) nationwide in April 2014. 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. PC 2014 is the most recent in a series of reports generated from WIC State management information system data biennially since 1992.
The Healthy, Hunger-Free Kids Act of 2010 (HHFKA; PL 111-296) required the USDA Food and Nutrition Service to conduct a demonstration that adds Medicaid to the list of programs used to directly certify students for free school meals. Although students receiving Medicaid are not categorically eligible for free meals, the DC-M demonstration authorizes selected States and districts to use income information from Medicaid files to directly certify those students found to be eligible for free meals.
The purpose of this study is to describe current methods of direct certification used by state and local agencies and challenges facing states and local education agencies in attaining high matching rates.
This study developed innovative approaches to using nutrition labeling systems to incentivize healthy food choices by SNAP participants in retail settings. The approaches consider opportunities for using Front of Package and shelf labeling systems across all food categories and retail settings.
Student eligibility for free meals is determined by application or by direct certification. Although direct certification systems vary by State and LEA, all such systems are designed to eliminate the need for paper applications. Effective in SY 2011-12, LEAs must conduct direct certification three times per year: once at or around the start of the school year, and again three and six months after that initial effort. All direct certification systems now match student enrollment lists against SNAP agency records and the records of other assistance agencies whose participants are categorically eligible for free meals. The matching process, whether automated or manual, requires no action by the children’s parents or guardians.
WIC Participant and Program Characteristics summarizes the demographic characteristics of nationwide participants in April 2010. 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.
This study identifies how spending patterns, such as the rate at which households spend their benefit, changed following the ARRA benefit increase and analyzes how spending patterns differed across household characteristics, time and states.