This is the eighth in a series of annual reports that examines the administrative accuracy of eligibility determinations and benefit issuance for free or reduced-price meals in the National School Lunch Program (NSLP). In School Year (SY) 2011/12, about 97 percent of students submitting applications for meal benefits were certified for the correct level of meal benefits, based on information in the application files. This was slightly higher than the 96-percent accuracy rate found in the previous school year.
This is the seventh in a series of annual reports that examines the administrative accuracy of eligibility determinations and benefit issuance for free or reduced-price meals in the NSLP.
This is the seventh wave of a program assessment of the family daycare homes in the CACFP, 2011. The assessment provides a national estimate of the share of CACFP-participating family daycare homes that are approved for an incorrect level of per meal reimbursement, or reimbursement "tier," for their circumstances.
Student eligibility for free meals is determined by application or by direct certification. Although direct certification systems vary by State and LEA, all such systems are designed to eliminate the need for paper applications. Effective in SY 2011-12, LEAs must conduct direct certification three times per year: once at or around the start of the school year, and again three and six months after that initial effort. All direct certification systems now match student enrollment lists against SNAP agency records and the records of other assistance agencies whose participants are categorically eligible for free meals. The matching process, whether automated or manual, requires no action by the children’s parents or guardians.
The Access, Participation, Eligibility, and Certification study found that one in five children certified for free or reduced- price meals in school year 2005-2006 was erroneously certified or incorrectly denied benefits. This study builds on APEC with three objectives: Develop an econometric model to identify indicators of local education authorities with high risk of certification error. Identify the key relationships between certification error and local characteristics. Provide a Web-based monitoring tool that will apply model parameters to annual Verification Summary Report data.