Free or Reduced Price School Meals

Percentage of Students Receiving Free or Reduced Price Meals

Santa Clara & San Mateo Counties, and California

Data Source:

California Department of Education, Free/Reduced Price Meals Program

CalWORKS Data Files

Analysis:

Silicon Valley Institute for Regional Studies

Data includes students ages 5-17 who have a primary or short-term enrollment in the school on Fall Census Day. Free and Reduced Meal Program (FRMP) information is submitted by schools to the Department of Education in January. The 2015-16 data is from the October 2015 data collection, and is certified as of March 24, 2016. Data for 2012-13 was revised on June 30, 2014. Data files include public school enrollment and the number of students eligible for free or reduced price meal programs. Data for Silicon Valley include Santa Clara and San Mateo Counties. A child’s family income must fall below 130% of the federal poverty guidelines ($31,525 for a family of four in 2015-2016) to qualify for free meals, or below 185% of the federal poverty guidelines ($44,863 for a family of four in 2015-2016) to qualify for reduced-cost meals. Students may be eligible for free or reduced price meals based on applying for the National School Lunch Program (NSLP), or who are determined to meet the same income eligibility criteria as the NSLP through their local schools, or their homeless, migrant, or foster status in CALPADS, or those students “directly certified” as participating in California’s food stamp program. Years presented are the final year of a school year (e.g., 2011-2012 is shown as 2012). In school year 2012-2013, the California Department of Education changed its data collection methodology to utilize CALPADS (California Longitudinal Pupil Achievement Data System) student-level data rather than district-provided data. The Non Public Schools (NPS) and adult schools included in the CALPADS data were excluded from the analysis for consistency, because they were not included in past FRPM files. Because the 2012-2013 data had a large number of schools reporting enrollment and percent eligible but not eligible student counts, counts were estimated by multiplying enrollment by the eligibility rate and rounding to the nearest whole number.

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Resources for Relevant Data and Reports (show)

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