Resource | Data
WIC Racial-Ethnic Group Enrollment Data 2014

Enrollment for the WIC Program in April 2014 totaled 9,303,254.  Of this total, Whites accounted for 5,465,188 (58.74%), Blacks or African Americans 1,892,153 (20.34%), American Indian/Alaskan Natives 1,032,651 (11.10%), Multiple Race 506,270 (5.44%), Asians 309,260 (3.32%), Hawaiian/Pacific Islanders 78,229 (0.84%). 

Resource | Research | Assessing/Improving Operations
School Nutrition and Meal Cost Study

This study is the first nationally representative, comprehensive assessment of the school meal programs since the updated nutrition standards for school meals were phased in beginning School Year 2012-2013. A study methodology report that describes the study design, sampling and data collection and a Summary Report that provides a brief overview of the study and key findings from the various reports are also available.

Resource | History
FDPIR Food Package Review Work Group Minutes

Meeting and conference call notes from the FDPIR Food Package Review Work Group.

Resource | Data
WIC Racial-Ethnic Group Enrollment Data 2016

Enrollment for the WIC Program in April 2016 totaled 8,815,472.  Of this total, Whites accounted for 5,168,190 (58.63%), Blacks/African Americans 1,829,374 (20.75%), American Indian/Alaskan Natives 906,698 (10.29%), Multiple Race 508,750 (5.77%), Asians 317,604 (3.60%), Hawaiian/Pacific Islanders 69,882 (0.79%).

Resource | History
USDA Proclamation - National WIC Breastfeeding Week

In appreciation of breastfeeding mothers and of all the dedicated volunteers, professionals, communities, and organizations who support their efforts, I, Sonny Perdue, Secretary of Agriculture, do hereby proclaim August 1-7, 2019, as National WIC Breastfeeding Week.

Resource | Data
SFMNP Grant Data

 This file contains Senior Farmers’ Market Nutrition Program grant amounts by state agency. The table displays data for the most recent fiscal years.

Resource | History
FDPIR Food Package Review Work Group

The FDPIR Food Package Review Work Group was formed in 2002 at the request of the National Association of Food Distribution Programs on Indian Reservations (NAFDPIR). The Work Group members are comprised of NAFDPIR officials, representatives from the Indian Tribal Organizations (ITOs) and state agencies that administer FDPIR, federal and Tribal health professionals, commodity procurement specialists from USDA, and FNS regional and national office staff that work with FDPIR. The purpose of the Work Group is to review the FDPIR food package on an ongoing basis, with the goal of revising it to better meet the nutritional needs and food preferences of program participants without significantly increasing overall food package costs.

Resource | Research
Analyses of Electronic Foodborne Outbreak Reporting System (eFORS)

The purpose of the descriptive retrospective study discussed in this article was to analyze data collected within the Electronic Foodborne Outbreak Reporting System (eFORS) in school settings in order to examine the magnitude of foodborne disease etiologies and to recommend strategies for prevention.

Resource | Research
Analyses of the Contributing Factors Associated With Foodborne Outbreaks in School Settings (2000–2010)

The purpose of the authors’ study was to examine the role of contributing factors in school foodborne outbreaks. Contamination factors accounted for the greatest proportion (49.2%) of outbreaks involving some level of food handling interaction by a school food service worker, followed by proliferation (34.9%) and survival factors (15.9%). Over 56% of all illnesses were associated with norovirus and food service worker practices.

Resource | Research | Assessing/Improving Operations
Assessment of States' Use of Computer Matching Protocols in SNAP

As required by federal law, state SNAP agencies verify financial and non-financial information by matching SNAP applicant and participant information to various national and state data sources to ensure they meet the program’s eligibility criteria. Data matching is an important tool for ensuring program integrity and benefit accuracy. However,  information on states’ data matching practices and protocols is limited. This study was undertaken to address this knowledge gap.