Our pay gap data
We are taking steps to reduce pay gaps in our workforce as we strive to become a more diverse and inclusive organisation.
We are taking steps to reduce pay gaps in our workforce as we strive to become a more diverse and inclusive organisation.
We strive to be transparent and accountable to our staff, charity partners, and people and communities we work with.
In our strategy, Building a Better Future, we have committed to diversifying the makeup of our trustees and staff, reviewing our recruitment practices, and being an inclusive organisation. We want to work towards being more representative of the charities and communities that we serve.
The data on this page is accurate as of March 2024. We aim to provide an update every year and proactively track any changes that can help us to reduce pay gaps.
Organisations with 250 or more employees are legally required to report on pay gap data. However, we are a relatively small organisation with fewer than 50 employees. This means that very small changes, such as a male member of staff being the highest earner, can skew the data disproportionately.
It’s also important to note that the pay gap data doesn’t show the full picture of diversity within our workforce – for example, it doesn’t account for factors such as socio-economic background or lived experience.
There are two ways that the average hourly pay is calculated to get the percentage pay gap.
The mean: All the hourly pay rates for one group (eg women) are added together and divided by the number of staff in that group. This gives us the mean hourly rate for that group. To calculate the pay gap, we compare the mean hourly rate for one group with another and report the difference as a percentage.
The median: All hourly pay amounts for one group (eg women) are ranked in numerical order. The hourly rate in the middle is the median hourly rate. To calculate the pay gap, we compare the median hourly rate for one group with another and report the difference as a percentage.
The gender pay gap is the difference between the average earnings of men and women across the organisation.
The larger the percentage, the greater the gap between the average earnings of men and women in the organisation. If the percentage is negative, it means that the gap is in favour of women.
Year |
Mean |
Median |
2023 |
11.3% |
0.0% |
2022 |
10.8% |
-1.9% |
The table above shows that the average pay of male employees (using the mean) is 11.3% higher than that of female employees in 2023. This is a small increase from 10.8% in 2022.
Using the median average there is no gender pay gap in 2023, which indicates that the median average of female employees is the same as male employees. This is a slight decrease from a negative gap in 2022, where the median average salary of female employees was higher than that of male employees.
The table below shows the proportion of male and female employees in each of the four salary quartiles, from the lowest paid (first quartile) to the highest paid.
1st |
2nd |
3rd |
4th |
Overall |
|
Male |
41.7% |
8.3% |
33.3% |
38.5% |
30.6% |
Female |
58.3% |
91.7% |
66.7% |
66.7% |
69.4% |
The number of male and female employees in the highest paid quartile are broadly in line with the proportion of the whole workforce. While there are more women in the lowest paid quartile, this is lower than the proportion of the whole workforce.
Note: Since this data was collected, two female staff in senior positions have left the organisation and been replaced with male staff. This means that there are more male staff in the highest paid quartile and our gender pay gap will increase in 2024.
The ethnicity pay gap is the difference between the average earnings of white staff (British and other) and Black, Asian, mixed and colleagues from other ethnic groups.
Year |
Mean |
Median |
2023 |
26.3% |
9.1% |
The table above shows the gap between the average pay of white staff (British and other) and Black, Asian, mixed and other ethnic groups.
The average pay of white employees (using the mean) is 26.3% higher than that of Black, Asian, mixed and other ethnic groups. Using the median average there is a smaller gap of 9.1%.
This table shows the distribution of employees according to ethnicity across each of the four salary quartiles, from the lowest paid (first quartile) to the highest paid (fourth quartile).
1st |
2nd |
3rd |
4th |
Overall |
|
White British and white other |
54.5% |
90.9% |
63.6% |
100% |
71.8% |
Black, Asian, mixed and other ethnic groups |
45.5% |
9.1% |
36.4% |
0% |
28.2% |
The disability pay gap is the difference between the average earnings of non-disabled staff and disabled staff.
Year |
Mean |
Median |
2023 |
28.5% |
4.5% |
The table above shows the gap between the average pay of disabled and non-disabled employees. The average pay of non-disabled employees (using the mean) is 28.5% higher than that of disabled employees.
Using the median average there is a smaller gap of 4.5%.
This table shows the distribution of disabled and non-disabled staff across each of the four salary quartiles, from the lowest paid (first quartile) to the highest paid.
1st |
2nd |
3rd |
4th |
Overall |
|
Staff with a disability |
0% |
25.0% |
0% |
27.3% |
12.5% |
Staff without a disability |
100% |
75.0% |
100% |
72.7% |
87.5% |
We are committed to reducing gender, disability and ethnicity pay gaps. Here’s what we have done and what we will do to continue to make progress in this area:
Recruitment