FNA uses a two-tier system to measure errors in eligibility and benefit determination for SNAP. This feasibility study identifies all processes and components that would be required for a one-tier federal SNAP QC system, including the procedural, staffing, and organizational changes and the technological and data-sharing infrastructures.
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.
The Federal Government fully funds SNAP benefits, but FNA and state agencies share administrative expenses, with each paying about 50 percent. State administrative costs per case varies widely by state. This study explores a number of factors, including state economic conditions, SNAP caseload characteristics, state SNAP policies, to try to explain the variation by state.
The Food Insecurity Nutrition Incentive grant program provided $100 million to fund and evaluate projects that were intended to increase fruit and vegetable purchases among SNAP participants by providing incentives at the point of purchase.
The characteristics report is published annually, dating back to 1976, and provides information about the demographic and economic circumstances of SNAP households. Using a sample of SNAP Quality Control data that is representative at both the state and national level, this report summarizes the characteristics of households and individuals who participated in SNAP in fiscal year 2017.
This study sought to better understand the root causes of SNAP application timeliness concerns. A comprehensive in-depth study of program components and practices adopted by the 50 states and the District of Columbia to process SNAP applications was conducted.
This report describes the feasibility of a modeling approach to forecast tiering error rates based on prior data, in lieu of annual assessments of misclassified FDCHs. It presents estimates for forecasted rates and associated improper payments for FDCHs for each fiscal year (FY) from 2016 to 2020. Due to data limitations, the report concludes that building a reliable model is not possible with the currently available data and estimates produced by the models cannot be used for IPERIA reporting.