Skills: Ensuring local people of all ages have support to access work

Apprentices employed by West Sussex County Council's partners and contractors

This goal is measured by tracking the number of apprentices employed by suppliers and delivery partners. It is our aim that 25 are appointed in 2014-2015.Explore the data
apprentices
Final
25apprentices
Mar 2015 Target
Goal Period ended March 2015

        The County Council has embraced Apprenticeships. They are a key way of boosting the local economy through providing training alongside paid work opportunities. This in turn increases the skills available locally and the employability of those in our local communities. Apprenticeships help us, as an employer, to develop the skills and talent pipelines we need for our future workforce enhancing productivity and long term workforce development. As we outsource services, we are keen for our suppliers to mirror the good practice we have started and are therefore building Apprenticeships into the delivery requirement of some of our contracts.

        We selected three key contracts to see how many Apprentices they recruit over this year. One contract is performing satisfactorily and has actively recruited Apprentices. One contract has had a delayed start meaning they are unlikely to deliver against this measure this year, another contract has shown resistance and we are implementing further support to enable them to participate.

        When we set this objective, we had no idea how many Apprentices were working for our Suppliers and it has been a journey of discovery throughout the year. We now have a clearer picture and were perhaps a little ambitious in but we are fully committed to working with our suppliers to support their employment of Apprentices into the new financial year.

      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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