Gender Pay Statistics

Our Gender Pay Statistics

Successive Conservative Governments have taken action to make sure that the gender pay gap is eliminated once and for all. As part of this, we have called on companies, both small and large, to publish their gender pay gap data in order to shine a light on pay inequalities and the reasons behind them.

We are proud that, for this reporting period, our median gender pay gap is negative. That means that on this measure, women earn more than men. We will continue to take steps to monitor and review progress on gender diversity in order to achieve gender equality across our organisation.

 

Our Gender Pay Gap

At CCHQ, our gender pay gap median is -6.5%. Our gender pay mean is 4.9%, which is well below the UK average.

There is a 0% gap between the percentage of men and women receiving bonuses. Furthermore, both 1% of men and 1% of women received bonuses. The difference between what men and women received as bonuses is 17.9%.

Staff levels at each pay quartile
GenderLower quartileLower-middle quartileUpper-middle quartileUpper quartile
Male68.4%66.2%58.2%67.1%
Female31.6%33.8%41.8%32.9%

Our Actions:

We are proud to be an equal opportunities employer, taking all reasonable measures to ensure that we recruit people from both sexes and all races and from people with disabilities and regardless of sexual orientation and will ensure that applications are not disadvantaged because of disability.

We publish our generous parental leave and pay policy on our website so that all prospective employees are well informed of their rights.

  • We are publishing this data in advance of our submission deadline, the 4th of April 2020.

  • These figures refer to the Conservative Campaign Headquarters including all field and regional staff employed by the Conservative Party. This includes those in Wales and Scotland. It does not include those directly employed by Associations or by any elected officials.

  • Where a figure is negative, it means that women get paid more than men using that specific measure.