Guide
Limitations of high school rankings
Why cohort size, subject mix, and what is not measured all matter when you use league tables.
·6 min read
Ranked tables are easy to scan and easy to misuse. The data on this site is useful for comparing published outcomes between schools in a given year, but it cannot answer the question every family actually cares about: which school is right for this student.
Cohort size and stability
A median based on thirty study scores moves more than one based on three hundred. A school with a small VCE cohort can rank highly one year and slip the next without any change in teaching quality—simply because the middle score shifted with a handful of students. Always read cohort size next to the median.
Subject mix and scaling
Students choose different subjects. Study scores are reported in ways that reflect those choices; scaling and student aptitude interact. Two schools with the same median can have very different subject profiles. Tables rarely show that mix, so the median is not a complete picture of curriculum breadth or difficulty.
What the table does not measure
- Pastoral care, behaviour support, inclusion practices
- Co-curricular programs, facilities, travel time
- Vocational pathways that do not sit in the same headline VCE statistics
- Student growth from entry to exit (“value-add”), which needs different modelling
Socioeconomic context
School outcomes correlate with many factors outside the school gate. Comparing raw medians without context can unfairly favour communities where more students arrive already on strong academic trajectories. That is not an argument to ignore data; it is an argument to interpret modestly.
How we use the data here
School Explorer publishes sortable tables and profiles so you can see what was officially reported. We do not add secret weights or proprietary “super scores.” When you compare schools using our compare tool, you are still looking at the same family of measures—side by side, not blended into a single hidden index.