Last week, the DfE published the snappily titled Teacher Analysis Compendium 4 that brought together a series of notes about the state of recruitment, retention and training within the state-sector teacher workforce. The link to the document is: https://www.gov.uk/government/statistics/teachers-analysis-compendium-4
I am highly delighted to recommend the new tool that analyses the data relating to entrants; leavers and remainers. Regular readers will know that I have complained regularly that the percentage of the cohort remaining wasn’t backed by the actual numbers of the cohort remaining. Now everyone can see both sets of data: a great improvement and one worth saying thank you to civil servants for taking the time and effort to create.
If you have an interest in teaching take time to drill down into the data for say, secondary remainers by government region and compare inner London with the North East. I won’t put a spoiler alert here. There are many different combinations that interested researchers can create from the data and I am sure that it won’t be long before research papers and conference talks start using this data.
The one drawback is the historical nature of the data. Sadly, it cannot tell anything about whether the direction of travel has changed since the latest year in the tables – now two years ago – and that can be important information when there are changes in the labour market and alterations in the direction of the size of the school population. Fortunately, job boards such as TeachVac, and presumably the DfE’s own site, can provide up to the minute information of the operation of the job market.
Another shortcoming of the DfE data it that it cannot tell anything either about the crossover between the state funded and private sectors or between schools and further education. Both are useful pieces of data for policy makers. Job boards can advise on trends in recruitment in the private sector and it ought to be possible to link schools and further education data together at least at a high level.
University teacher trainers will no doubt be pleased with what the data says about retention over both the longer and shorter terms of their trainees in non-LA maintained schools. However, it would be helpful to have definitions of reference groups such as EBITT and where non LA Maintained schools refers to the school only when it was a non-maintained school or all data for that school during the time period by linking URNs together where a school has changed status?
Perhaps the most frightening of the tables is the one showing an age breakdown of teachers leaving the state sector. The table identifies three age groupings that might be described as; younger; mid-career and approaching retirement age. The increase across many of the subjects in departure percentages among the younger age group and also the actual numbers must be of concern, especially against the background of a rising secondary school population. These young teachers are the leaders for tomorrow. To provide but one example: the number of female teachers of English under the age of 35 leaving increased from 770 in 2011 to 1,123 in 2017 and that must be a concern.
For anyone interested in teacher recruitment and retention this is an invaluable resource. Thanks again to the DfE.