This report reflects our gender and ethnicity pay gap data as of March 2023, which we annually report in arrears.
Although our staff count falls below the 250-employee threshold for mandatory gender pay gap reporting, we have voluntarily chosen to publish our findings for the fifth year, believing it aligns with best practices and promotes transparency in pay across the public sector.
We continue to strive for an inclusive, welcoming, and fair environment for all members of our team. These plans encompass various aspects of our operations, from recruitment and promotions to training and mentorship, all aimed at eliminating barriers and promoting equal opportunities. The ultimate goal is to ensure that every member of our organisation is provided with a fair and equal path to success to support the regulator in driving change in the social housing sector to deliver more and better social housing.
In accordance with the current requirements for reporting on the gender pay gap, our approach involves categorising gender into male and female within our data classification.
It is important to note that we define gender in accordance with the classifications provided by His Majesty’s Revenue and Customs (HMRC), which categorise individuals as male or female, in our data.
In the context of this report, we have employed the terms ‘gender,’ ‘male,’ and ‘female,’ understanding that they typically relate to biological sex. However, it’s important to acknowledge that for some individuals, these terms may not fully encapsulate their gender identity.
In 2017, the government introduced a statutory requirement for organisations with 250 or more employees to report annually on their gender pay gap. Government departments are covered by the https://www.legislation.gov.uk/uksi/2017/353/contents/made" class="govuk-link">Equality Act 2010 (Specific Duties and Public Authorities) Regulations 2017 which came into force on 31 March 2017. These regulations underpin the Public Sector Equality Duty and require the relevant organisations to annually publish their gender pay gap data on:
The gender pay gap shows the difference in the average pay between all men and women in a workforce. Mean and median gender pay gap figures are based on a comparison of men and women’s hourly pay across the organisation irrespective of grade, which means that the gap shows the difference in the average pay between all men and women in the organisation’s workforce.
The mean figure is the percentage difference between the mean average hourly rates of men and women’s pay.
The median figure is the percentage difference between the midpoints in the ranges of men and women’s pay.
The bonus gap refers to bonus payments paid to men and women employees during the 12 months period prior to the snapshot date.
Our figures at 31 March 2023
<table
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Ethnicity pay gap estimates for 2018 across different ethnicity breakdowns using the Annual Population Survey.
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Median pay and raw ethnicity pay gap estimates for 2012 to 2022 across different ethnicity breakdowns using the Annual Population Survey, UK.
During a 2025 survey carried out among marketers from the United Kingdom, it was found that ethnic minorities earned more than 13 percent less than white marketers. The gap widened in the most recent year by nearly five percentage points.
In 2019 white people in England and Wales had an average hourly income that was *** percent larger than that of ethnic minority groups. This was the lowest percentage difference recorded during this time period, with the highest difference recorded in 2014, when the average difference in hourly earnings was *** percent.
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For NHS staff in May 2020, Black men were paid 84p for every £1 paid to White men. Black women were paid 93p for every £1 paid to White women.
During a 2023 survey carried out among more than ***** marketers from the United Kingdom, it was found that marketers who identified as white had the highest average full-time earnings, with ***** thousand British pounds annually. Black/African Caribbean/Black British was the lowest-paid group, with ***** thousand pounds annually.
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This dataset contains ethnicity pay gap figures for the GLA and estimates for all employees in London.
The ethnicity pay gap is the difference in the average hourly wage of white employees and employees of other ethnicities across a workforce. If non-white employees do more of the less well paid jobs within an organisation than white persons, the ethnicity pay gap is usually bigger.
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In the 3 years to March 2021, black households were most likely out of all ethnic groups to have a weekly income of under £600.
In 2024, the difference between average hourly earnings for men and women in the United Kingdom for all workers was 13.1 percent, compared with seven percent for full-time workers, and -3 percent for part-time workers. During the provided time period, the gender pay gap was at its highest in 1997, when it was 27.5 percent for all workers. Compared with 1997, the gender pay gap has fallen by 13.2 percent for all workers, and 9.7 percent for full-time workers. Gender pay gap higher in older age groups Although the gender pay gap among younger age groups was relatively small in 2024, the double-digit pay gap evident in older age groups served to keep the overall gap high. The gender pay gap for workers aged between 18 and 21 for example was -0.5 percent, compared with 12.1percent for people in their 50s. Additionally, the gender pay gap for people aged over 60 has changed little since 1997, falling by just 1.2 percent between 1997 and 2023, compared with a 14.9 percent reduction among workers in their 40s. Positions of power As of 2024, women are unfortunately still relatively underrepresented in leadership positions at Britain’s top businesses. Among FTSE 100 companies, for example, just 9.4 percent of CEOs were female, falling to just 6.1 percent for FTSE 250 companies. Representation was better when it came to FTSE 100 boardrooms, with 44.7 percent of positions at this level being filled by women, compared with 42.6 percent at FTSE 250 companies. In the corridors of political power, the proportion of female MPs was estimated to have reached its highest ever level after the 2024 election at 41 percent, compared with just three percent in 1979.
The median hourly pay in 2022 for White British employees was ***** pounds per hour, while people belonging to the Asian Other category received a median of ***** pounds per hour, which was the highest hourly pay in the hourly earnings shown. White and Black Caribbean employees had the lowest median hourly earnings in 2022, at ***** pounds per hour, followed by Bangladeshi employees, at just over ** pounds per hour
Following the public sector equality duty in April 2011 (s149 of the Equality Act 2010), public authorities are obliged, in the exercise of their functions, to have due regard to the need to achieve the three aims of the public sector equality duty:
The Regulator of Social Housing became a standalone organisation on 1 October 2018. As a public body with at least 180 employees, RSH publishes relevant, proportionate equality information to demonstrate compliance with the Equality Duty and to promote transparency and accountability for its equality performance.
This is RSH’s fourth equality information report, which for the third year includes an ethnicity pay gap report. It covers RSH staff and those affected by its policies and procedures. Previous and related reports can be found on our Equality information and pay gap reports collections page.
The reports provide data on the pay gap at the Environment Agency and contains:
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Between 2018 and 2022, people in households in the ‘other’, Asian and black ethnic groups were the most likely to be in persistent low income, both before and after housing costs, out of all ethnic groups.
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Analysis of employee characteristics by ethnicity for 2022 using the Annual Population Survey, UK
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75% of households from the Bangladeshi ethnic group were in the 2 lowest income quintiles (after housing costs were deducted) between April 2021 and March 2024.
The median hourly pay and percentage difference in 2019 between hourly earnings with white British employees was greater between men than between women. White Irish male employees earned a median of ***** pounds per hour, while Bangladeshi male employees earned a median of ***** pounds per hour. In comparison, white Irish female employees earned a median of ***** pounds per hour, while Bangladeshi female employees earned a median of ***** pounds per hour. The highest median hourly pay was seen for Chinese male employees, at ***** pounds per hour. Chinese female employees also earned a high hourly pay, at ***** pounds per hour. Female white and black Caribbean female employees experienced the lowest median hourly pay in 2019, at just **** pounds per hour.
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Every year between 2013 and 2021, employees from the combined Pakistani and Bangladeshi ethnic group had the lowest average hourly pay out of all ethnic groups.
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Between April 2008 and March 2024, households from the Pakistani and Bangladeshi ethnic groups were the most likely to live in low income out of all ethnic groups, before and after housing costs.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Ethnicity pay gap regression results for 2018 across different ethnicity breakdowns using the Annual Population Survey.
This report reflects our gender and ethnicity pay gap data as of March 2023, which we annually report in arrears.
Although our staff count falls below the 250-employee threshold for mandatory gender pay gap reporting, we have voluntarily chosen to publish our findings for the fifth year, believing it aligns with best practices and promotes transparency in pay across the public sector.
We continue to strive for an inclusive, welcoming, and fair environment for all members of our team. These plans encompass various aspects of our operations, from recruitment and promotions to training and mentorship, all aimed at eliminating barriers and promoting equal opportunities. The ultimate goal is to ensure that every member of our organisation is provided with a fair and equal path to success to support the regulator in driving change in the social housing sector to deliver more and better social housing.
In accordance with the current requirements for reporting on the gender pay gap, our approach involves categorising gender into male and female within our data classification.
It is important to note that we define gender in accordance with the classifications provided by His Majesty’s Revenue and Customs (HMRC), which categorise individuals as male or female, in our data.
In the context of this report, we have employed the terms ‘gender,’ ‘male,’ and ‘female,’ understanding that they typically relate to biological sex. However, it’s important to acknowledge that for some individuals, these terms may not fully encapsulate their gender identity.
In 2017, the government introduced a statutory requirement for organisations with 250 or more employees to report annually on their gender pay gap. Government departments are covered by the https://www.legislation.gov.uk/uksi/2017/353/contents/made" class="govuk-link">Equality Act 2010 (Specific Duties and Public Authorities) Regulations 2017 which came into force on 31 March 2017. These regulations underpin the Public Sector Equality Duty and require the relevant organisations to annually publish their gender pay gap data on:
The gender pay gap shows the difference in the average pay between all men and women in a workforce. Mean and median gender pay gap figures are based on a comparison of men and women’s hourly pay across the organisation irrespective of grade, which means that the gap shows the difference in the average pay between all men and women in the organisation’s workforce.
The mean figure is the percentage difference between the mean average hourly rates of men and women’s pay.
The median figure is the percentage difference between the midpoints in the ranges of men and women’s pay.
The bonus gap refers to bonus payments paid to men and women employees during the 12 months period prior to the snapshot date.
Our figures at 31 March 2023
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