What does it mean to be in a certain salary percentile, and how does that differ from the median?

Full answer

Understanding salary percentiles and the median helps put a specific salary figure into meaningful context, rather than relying on the more commonly quoted (but sometimes misleading) average or mean salary. **What a percentile actually means** A percentile ranks a value against the full distribution of all values -- being in the 60th percentile for salary means you earn more than 60% of the comparable population (for example, all full-time UK employees, or a specific occupation or region) and less than the remaining 40%. The higher the percentile, the more people you earn more than. **The median is the 50th percentile** The median salary is the specific value at the 50th percentile -- exactly half of the relevant population earns more than the median, and half earns less. It is often considered a better "typical" figure than the average (mean) salary, because pay distributions are usually skewed by a relatively small number of very high earners, who pull the mean upward without representing a truly typical income. **Why the median differs from the mean (average)** The mean is calculated by adding up every individual's salary and dividing by the number of people, so if a small number of people earn extremely high salaries, this pulls the mean above what most people actually earn -- the median avoids this distortion, since it only reflects the position of the middle person, not the actual size of very high or very low salaries at the extremes. **Worked example** Suppose 9 employees in a small company earn £25,000, £26,000, £27,000, £28,000, £29,000, £30,000, £31,000, £32,000 and one senior executive earns £400,000. The mean average salary across all 10 people is pulled up substantially by the executive's high salary, giving a mean of around £65,300 -- a figure none of the other 9 employees come close to earning. The median (the middle value when ranked) is £29,500 (roughly the midpoint of the 5th and 6th ranked salaries), which much more accurately reflects what a typical employee at that company actually earns. **How percentile data is used practically** Salary percentile data (often broken down by occupation, region, age, or industry) is commonly used to benchmark whether a specific salary offer is competitive -- being told your salary sits in, say, the 40th percentile for your specific role and region tells you that 60% of people in similar roles and locations earn more than you, which is more useful context for a pay negotiation than simply knowing the raw average figure for all jobs nationally. **Interquartile range and wider context** Beyond the median (50th percentile), salary data is often also presented at the 25th and 75th percentiles (the "interquartile range"), giving a sense of the typical spread of salaries for a role, not just the single midpoint -- a role with a narrow gap between the 25th and 75th percentiles has more consistent pay across the workforce than one with a very wide gap. **Practical tip** When researching whether your salary is competitive, look specifically for median salary and percentile data for your exact role, region, and experience level rather than a single national average figure, since broad national averages are often skewed upward by high earners in unrelated, higher-paying occupations or regions.

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