This final report integrates key findings from previous reports regarding the National Accuracy Clearinghouse (NAC) pilot evaluation.
The Child Nutrition Reporting Burden Analysis Study was commissioned by FNS in response to a legislative requirement of House Report 114-531. The study examined challenges faced by SAs and SFAs related to child nutrition program administrative and reporting requirements and identifying those that contribute most to the workload for SAs and SFAs that operate CN programs.
This report offers updated estimates of the number of people eligible for WIC benefits in 2013, including (1) estimates by participant category (including children by single year of age) and coverage rates; (2) updated estimates in U.S. territories; and (3) confidence intervals. The national estimates presented in this report are based on a methodology developed in 2003 by the Committee on National Statistics of the National Research Council (CNSTAT). The report’s State-level estimates use a methodology developed by the Urban Institute that apportions the national figures using data from the American Community Survey.
These reports describe individuals’ patterns of SNAP participation and analyze which factors were associated with their decisions to enter or exit the program. Both studies use data from the U.S. Census Bureau’s Survey of Income and Program Participation covering the period from 2008 to 2012.
Using Food Stamp Quality Control data from fiscal year 2000, this analysis suggests that the simplified reporting policies adopted by states in 2004 could have lowered error rates by 1.2 to 1.5 percentage points.
Previous studies have shown that participation rates are higher among people eligible for a relatively large food stamp benefit than among those eligible for a comparatively small benefit. This analysis seeks to determine whether or not this relationship between participation rates and benefits holds for different demographic groups within the food stamp population. This analysis confirms that the relationship holds for most demographic groups. Surprisingly, the analysis also shows that there are many nonparticipating individuals eligible for relatively large benefits