This study represents the final findings of the Food Insecurity Nutrition Incentive Grant (FINI) Evaluation. The study Includes information about the amount of incentives issued and redeemed at FINI retailers and characteristics of the retailers involved in the grant program. Overall, over 71 percent of benefits issued were redeemed. Redemption rates were highest at retailers that specialized in selling fruits and vegetables.
This study identifies the barriers that SNAP participants face when trying to achieve a healthy diet through a nationally representative survey of SNAP participants.
These additional funds are targeted to households receiving less than $95 in EA benefits under the previous policy — the lowest income households participating in each state.
The Federal Government fully funds SNAP benefits, but FNS 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.
Describe how participants redeem their food stamp benefits (including the number and types of stores frequented by typical clients, the timing and amount of purchases during the month, the frequency of benefit exhaustion, and the amount of benefits carried over into following months). And, identify redemption patterns across groups and analyze differences in redemption and shopping patterns if such exist.