A picture of the UK scientific workforce: Interactive chart

The interactive chart below shows career stages in academia by discipline and by gender, disability and ethnicity using Higher Education Statistics Agency (HESA) data from 2011/12.

Career stages are often characterised as a pipeline and it is common to use the terminology of a 'leaky pipeline' to describe situations in which trained individuals leave a particular career stage. What is clear from the study of the scientific workforce as a whole is that a leak from one sector can be an inflow to another.

Data from HESA allow the career stages to be examined separately for each subject by comparing the proportions of individuals with particular diversity characteristics at each stage of an academic career. It is not possible to study the actual pipeline because these data compare the current professorial cohort with the current undergraduate cohort, not with the undergraduate cohorts from which current professors were drawn. The data do, however, allow comparisons among different disciplines of the proportions of women, disabled people and different minority ethnic groups at each stage of an academic career from first degree to holding a professorial chair.

This data was released as part of ‘A picture of the UK scientific workforce’, the Society’s data gathering exercise which set out to analyse and understand the composition of the scientific workforce in terms of gender, disability, ethnicity and socio-economic background and status.

You can download the summary report and all supplementary research and data reports as PDF, DOC and XLS files.

First degreeMastersDoctorateResearcherLecturerProfessor01020Career stage% of scientists from minorit…
Career stage(Ethnicity) (BME) Anatomy & Physiology
First degree19.7

Display selected career profiles

Select diversity strands and research subjects from the box and click 'display selected career profiles' to show them on the graph. Use the 'Ctrl' key (or 'Cmd' on a Mac) to select more than one pipeline.

To see the legend, hover over a line on the chart.