Case Study: Gilroy Unified School District achieves a confident, data-driven school closure and efficient boundary planning with PowerSchool Predictive Enrollment Analytics

How Enrollment Analytics Helped Gilroy Make the Right School Closure Decision

Gilroy Unified School District, a mid-sized district in Santa Clara County serving about 11,000 students across 14 schools, faced a five-year enrollment decline and an urgent, complex decision about which elementary school to close. District leaders struggled with siloed data—spreadsheets, student address lists, and paper projections—which made it difficult to evaluate boundary impacts, transportation, and long-term capacity with the speed and confidence needed.

The district adopted PowerSchool Unified Operations Predictive Enrollment Analytics and partnered with PowerSchool experts to consolidate historical, current, and 10-year predictive enrollment data, run scenario-based boundary maps, and model transportation and capacity impacts in real time. The data-driven process led to the closure of Antonio Del Buono Elementary and confident redistribution of students to nearby campuses, improved staffing and transportation planning, greater community transparency and buy-in, and ongoing use of the tool for long-range enrollment and program planning.

Gilroy Unified School District

Alvaro Meza

District’s Chief Business Officer