Benchmarking salaries in the United Kingdom
Reviewed by Mellow Editorial Team, HR & payroll content team
Salary benchmarking means comparing what you pay your people against what the wider market pays for equivalent roles. Done well, it tells you whether your compensation is competitive enough to attract candidates and retain the staff you already have.
Why benchmarking matters more than gut feel
Pay decisions made on instinct or historical precedent tend to drift. A salary set three years ago may have been fair at the time but look thin against today's market. The result is usually quiet attrition — good people leave, and the reasons cited in exit interviews rarely mention pay directly, even when it was the real issue.
Systematic benchmarking gives you an evidence base. It replaces "we've always paid this" with "here is what the market pays, and here is where we have chosen to position ourselves."
Where to find reliable salary data
No single source is complete. Use at least two or three in combination.
Official data. The Office for National Statistics publishes the Annual Survey of Hours and Earnings (ASHE), which covers median and mean pay by occupation, industry, region and full- or part-time status. It lags by roughly a year but is methodologically rigorous and free.
Recruiter surveys. Robert Half, Hays, Michael Page and others publish annual salary guides. These are useful for gauging candidate expectations because they reflect what people are actively asking for, but they can skew high — agencies have an incentive to report strong demand.
Job boards. LinkedIn Salary, Glassdoor and Indeed aggregate self-reported pay data. Quality varies and self-reporting introduces bias, but the sample sizes are large and the data is current.
Peer benchmarking. If you belong to an industry body or trade association, peer salary surveys are often the most directly comparable source — same sector, similar business size, same talent pool.
Compensation consultancies. Mercer, Willis Towers Watson and Korn Ferry run structured surveys that larger organisations pay to join. Coverage is detailed but cost is a barrier for smaller employers.
How to benchmark properly
Define the job, not the job title. Titles vary enormously. A "Senior Manager" at one firm is a "Director" at another. Match on responsibilities, scope, direct reports and technical requirements rather than on the title string.
Control for location. Pay in London typically sits 15–25% above equivalent roles in other UK cities, and regional variation within that is real. A data engineer salary in Manchester, Bristol or Leeds will differ from the London figure. Use regional cuts where the data allows.
Segment by company size and sector. A 20-person startup and a FTSE 250 business compete for some of the same candidates but operate different pay structures. Match to organisations your candidates would realistically consider.
Look at total compensation, not just base salary. Employer pension contributions (the statutory minimum employer contribution under auto-enrolment is 3% of qualifying earnings, but many employers go above this), private medical insurance, bonus potential, equity and flexible working all affect the real value of a package. If your base is slightly below median but your benefits are strong, you may still be competitive.
Set a pay position deliberately. Most employers aim to pay at median (50th percentile). Employers who rely heavily on brand, mission or learning opportunities sometimes position at the 40th. Those competing in tight talent markets, or building specialist teams, often aim for the 75th. Neither is wrong — the important thing is that the decision is conscious and consistent.
Keeping benchmarks current
Salary data goes stale quickly. Running one exercise and filing it away is not enough.
Review benchmarks annually at minimum, ideally aligned to your budget cycle so the findings can actually influence pay decisions. For fast-moving roles — software engineering, data, product — consider a lighter-touch mid-year refresh using job board data.
Track your own attrition by role and level. If you are losing people consistently in particular areas, pay may be a contributing factor even if it is not the stated reason. Pair that internal signal with external market data before concluding either way.
When you conduct pay reviews, document the rationale for each decision against your benchmarking data. This protects you if an employee challenges their pay, and it helps you identify compression — situations where a long-serving employee ends up earning less than a newly hired colleague in the same role, which is a common and damaging outcome of ignoring the market over time.
The legal and compliance dimension
Pay benchmarking feeds into your obligations under equal pay law. Where you identify unexplained gaps between employees doing equivalent work, benchmarking data alone does not justify the disparity — you need to review whether the difference is attributable to a genuine material factor. If you employ 250 or more people, gender pay gap reporting also requires you to analyse and publish pay distribution data annually, which makes having clean, structured compensation data a practical necessity rather than a nice-to-have.
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