Summary:
The Gobles Public School District is a small, rural Michigan district serving 786 students across three schools: Gobles High School (grades 6-12), Gobles Elementary School (grades PK-5), and Gobles Virtual Academy (K-12). The district ranks in the 56th percentile statewide with a 3-star rating, and a significant portion of students (54-71%) qualify for free/reduced lunch.
Gobles Elementary School is the clear academic standout, consistently beating state averages in math and English. Its 4th-grade math proficiency (63.2%) is nearly 24 points above the state average, and it has the district's lowest chronic absenteeism rate at 16.4%—well below the state's 27.9%. In contrast, Gobles High School shows a mixed picture: it excels in science (8th and 11th graders outperform state averages by 6 and 5.7 points respectively) and 9th-grade PSAT ELA, but math proficiency plummets in middle school, with only 15% of 6th graders proficient versus 31.9% statewide. The high school's graduation rate (83%) is just below the state average, and its dropout rate (9.4%) is higher than the state's 7.1%. Gobles Virtual Academy is the school of concern: with only 35 students, it has a 66.6% graduation rate, an 11.1% dropout rate, and a staggering 56.8% chronic absenteeism rate—more than double the district and state averages.
The most striking finding is the district-wide "math gap": elementary students excel in early math, but proficiency collapses by 6th grade, suggesting a curriculum or transition problem between schools. Science is a hidden gem worth celebrating. The virtual academy spends far less per student ($5,473 vs. $19,407 at the high school and $14,191 at the elementary), which correlates with its poor outcomes—raising the question of whether these high-need students need more investment, not less. Finally, year-over-year proficiency swings are dramatic (e.g., 3rd-grade ELA dropped from 51.4% to 30.9%), likely due to small class sizes where a few students can shift percentages significantly, so parents should look at multi-year trends rather than single-year data.
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