Gender Pay Gap Calculator
Work out gender pay gap instantly with clear inputs, formula shown and shareable results.
About Gender Pay Gap Calculator
The gender pay gap is the difference between men's and women's average pay expressed as a percentage of men's pay. Mean and median are both reported because the mean is pulled by a small number of very high earners while the median reflects the typical employee.
Formulas
Mean gap
Mean gap % = (Mean male pay - Mean female pay) / Mean male pay x 100
Median gap
Median gap % = (Median male pay - Median female pay) / Median male pay x 100
Worked example
With the default values below, Gender Pay Gap Calculator returns Mean gender pay gap of 14.00%. Change any input above and every figure here is recalculated in your browser.
Inputs used
- Mean hourly pay — men
- 850
- Mean hourly pay — women
- 731
- Median hourly pay — men
- 790
- Median hourly pay — women
- 712
Results
- Mean gender pay gap
- 14.00%
- Median gender pay gap
- 9.87%
- Women's pay per unit of men's pay
- 0.8600
- Direction
- Mean pay favours men
Step by step
- 1Values used
- 2Mean gap
- 3Median gap
- 4Mean gender pay gap= 14.00
- 5Median gender pay gap= 9.87
- 6Women's pay per unit of men's pay= 0.8600
- 7Direction= Mean pay favours men
Assumptions and limits
- The result is derived only from the 4 inputs listed above. Anything not among them is not part of the calculation.
- In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
- Figures are rounded for display to 4 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.
How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.
Frequently Asked Questions
Is a pay gap the same as unequal pay?
No. Unequal pay is paying differently for the same work and is unlawful in most jurisdictions. A pay gap can arise from occupational and seniority distribution even where equal pay holds.
Why report both mean and median?
Because a large gap between them tells you the problem is concentrated at the top of the distribution rather than spread across all levels.
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