All applicants and participants in SNAP are required to submit personally identifiable information for verification before receiving benefits. To better understand the evolving landscape of data security, USDA conducted this study to evaluate how state agencies protect PII of SNAP recipients and compiled best practices for maintaining data security of program.

The purpose of this study is to help FNS better understand how states are implementing the SNAP E&T case management requirement, including how they assess individuals’ needs for services and supports and provide participant reimbursements and other support services. It was also intended to identify promising practices and lessons learned that can be used to support states as they work to provide case management services aligned with their participants’ needs, available resources, and program priorities.

​This study describes the wage subsidy and work-based learning models that aid in improving employment outcomes, the extent to which these models promote strong connections between government programs and employers, and the implications of previous findings on how to best implement wage subsidy and work-based learning programs within the SNAP Employment and Training (E&T) program.

This report provides the 2015 national estimate of incorrect payments for the meal reimbursements. The assessment calculates both overpayments and underpayments for FDCHs that earn either Tier 1 (higher) or Tier II (lower) reimbursements depending on the location and circumstances of the child care provider or the participating children.

The purpose of this study is to evaluate the effectiveness of state agencies current peer group systems, and to provide guidance to state agencies on how to evaluate and update their systems. Specifically, it uses empirical analysis to identify one or more effective models for establishing vendor peer groups that could apply to most state agencies.

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.

This study — mandated by Section 4022 of the Agricultural Act of 2014 — reviews research on employment and training program components and practices that: (1) assist members of households participating in SNAP to obtain regular employment; and (2) are best integrated with state workforce development systems. 

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.