Severndale Specialist Academy is a sixth form special school in Shrewsbury, West Midlands. It has not yet been rated by students on y.school. Be the first to rate this special school and help other students and parents understand what the school experience is really like.
The school has a teacher turnover rate of 9.6%, 43% of pupils eligible for free school meals, an overall absence rate of 11.1%.
All student scores on y.school are calculated from anonymous ratings using a transparent, deterministic methodology. Scores are freshness-weighted (18-month half-life) and include confidence tiers based on sample size, diversity, and consistency. For full details, see the y.school methodology.
Severndale Specialist Academy has an overall absence rate of 11.1%. The national average for secondary schools is approximately 5.5%.
The teacher turnover rate at Severndale Specialist Academy is 9.6%. This measures the percentage of teachers who left the school in the past year.
43% of pupils are eligible for free school meals, which is used as a proxy for socioeconomic disadvantage.
Source: Department for Education, Ofsted. Data shown for context only — does not influence the Student Score.
Data last updated: April 2026
Crime Nearby
102/mo
Within ~1 mile (Police.uk)
Violent Crime
52/mo
51% of total
Air Quality
Good
NO₂: 6.3 µg/m³ · PM2.5: 5.5
Bus Stops
0
Within 500m
Source: Police.uk, DEFRA UK-Air, DfT NaPTAN. Based on the school's location — actual conditions may vary.
Severndale Specialist Academy has not updated their profile
Schools can manage facilities via the y.school portal
No one's rated teachers here yet. Be the first.
Other schools in the Shrewsbury area
This is a special school. Absence rates may be higher than mainstream averages due to pupils' medical and additional needs. National averages shown are for mainstream schools.
88.9%
Attendance Rate
11.1% overall absence
Source: Department for Education / Ofsted. Data shown for context only — does not influence the Student Score. Small schools may show extreme percentages due to small sample sizes.