Young people are ready for school and ready for work

Performance of West Sussex Schools

This goal is measured by tracking the percentage of pupils in West Sussex attending good or outstanding schools. Our ambition is to be one of the top 25% of highest performing counties in the country.Explore the data
Rank (Secondary)
Final
9Rank (Secondary)
Mar 2016 Target
Goal Period ended March 2016

      December 2015

      Proportion of pupils in Good and Outstanding Schools Based on the 2015 Ofsted Annual Report the proportion of pupils in good and outstanding schools in West Sussex based on inspection up until 31st July 2015 was:

      Secondary 79% ranked 20th of the 34 Shire+ counties

      The proportion improved by 10% over 2014 and the ranking improved by 7 places.

      School performance is tracked by measuring the proportion of pupils who attend good or outstanding schools at the schools’ last inspection.

      All schools are inspected as part of a cycle of inspection with inadequate and RI (Requires Improvement) schools being inspected within two years and good schools every three years. Outstanding schools are not routinely inspected.

      Based on the proportion of pupils in good and outstanding schools in West Sussex based on inspection reports recorded on a monthly basis:

      March 2016 = 79%.

      The Local Authority is committed to ensuring that all pupils in the county attend a good or outstanding school and the Education and Skills service is working with schools and partners towards this outcome. Where it is considered that a school is underperforming, or at risk of underperforming, it continues to target these schools, and will work alongside the school to either improve their rating at the next inspection, or to help them to ensure that they remain good. The Education and Skills service has a positive track record of supporting these schools.

    Data Governance

    describes the quality of the data itself. Governance issues generally indicate that the data source is considered incomplete or unreliable.

    Model Health

    describes the quality of the predictive model. If the model health is poor, the trend prediction should not be trusted.

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