At Comic Relief, we have a proud history of tackling gender inequality in the UK and across the world. We passionately believe in our vision to create a just world for everyone and that starts here by ensuring that genders are treated equally within our own organisation.
Comic Relief’s mean gender pay gap is 13.66% and its median gender pay gap is 16.06%.
We are a 73% female organisation and women are well represented across our structure at every level. We have a high representation of women in our most senior leadership team (83%), including our CEO. Female representation declines at the departmental leadership stage (56%).
Our gender pay gap arises from two key factors. First, we are developing insufficient numbers of women into departmental leadership roles and secondly, we are under presented by men in junior level roles.
We have paid a lot of attention to getting women into our organisation in areas where it’s difficult to attract women. For example we have a technology team that is 40% female (far surpassing the national average of 24%) but we are learning that this doesn’t of itself lead to a reduced pay gap.
The steps we are taking to address this and ensure we lead by example include but are not limited to:
- Reviewing our recruitment practices to understand why we fail to attract men into our more junior roles
- Using gender data and evidence to inform our priorities for action
- This is Comic Relief’s report for the snapshot date of 5 April 2017.
- The mean gender pay gap for Comic Relief is 13.66%
- The median gender pay gap for Comic Relief is 16.06%.
Pay quartiles by gender:
Includes all employees whose standard hourly rate places them at or below the lower quartile
Includes all employees whose standard hourly rate places them above the lower quartile but at or below the median
Includes all employees whose standard hourly rate places them above the median but at or below the upper quartile
Includes all employees whose standard hourly rate places them above the upper quartile
We do not pay bonuses.
Since the publication of our 2017 data, we have identified an error in our reporting. The corrected figures for 2017 and (reported) are mean 13.66% (10.27%) and median 16.06% (9.55%). We have updated our website and notified email@example.com.