Results of 2023 Gender Pay Gap Report out
The results of the 2023 for Richmond American University London have just been published.
Companies with more than 250 employees have to publish an annual gender pay gap report which measures differences between the average (mean and medium) earnings of men and women who work at the University. Richmond American University London employed a total of 211 employees as at 5 April 2023, with 45 per cent of employees being male and 55 per cent female.
Here are the highlights:
- The mean gender pay gap for the University is 5.55% (2022: 7.43%)
- The median gender pay gap for the University is 5.59% (2022: 12.97%)
- When student workers are excluded from the data, the University’s mean and median pay gaps are effectively zero (-0.49% & 0% respectively)
The University has also increased salaries for the lowest paid employees as it follows the Living Wage Foundation’s London Living Wage rate.
Dean Morley, Director of Human Resources at Richmond American University London, said, “It is encouraging to see that since the last GPG report in 2023, Richmond has reduced its overall mean pay gap by 1.88% and overall median pay gap by 7.38%. This progress strongly suggests that Richmond is heading in the right direction towards addressing gender pay inequalities at the University.
“Despite our relatively good results, we remain committed to reducing the gender pay gap through working with both faculty and staff during the recruitment and promotion of employees. We also use salary data from the UK Higher Education sector survey to inform decisions relating to salaries and benefits. Longer term we are also developing salary frameworks, clearer promotion criteria, and evidence-based gender monitoring. We will continue to seek to identify and address any barriers to gender equality.”
What is the gender pay gap?
The gender pay gap is the difference between the average hourly earnings of a company’s male and female employees. When talking about the gender pay gap the median figure tends to be used rather than the mean.