Calculators

Gender Pay Gap Calculator

Compare the average pay of two groups using the same pay measure and time period. The calculator reports how much lower Group B's average pay is than Group A's, as a percentage of Group A's average pay.

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What this Gender Pay Gap Calculator does

The Gender Pay Gap Calculator compares the average pay reported for two groups and expresses the difference as a percentage of Group A's average pay. It uses a straightforward calculation: the difference between the two averages divided by Group A's average, multiplied by 100. The result is labeled Pay gap (%).

This calculator is a basic comparison tool. It does not identify why the averages differ, measure equal pay for equal work, or establish whether a gap is fair or lawful. Averages can reflect different roles, hours, seniority, occupations, employment arrangements, or other features of a workforce. For a useful comparison, choose groups and pay figures that are defined consistently and explain what the figures represent.

The calculator's description is: “Compare the average pay of two groups using the same pay measure and time period. The calculator reports how much lower Group B's average pay is than Group A's, as a percentage of Group A's average pay.” The inputs are Group A average pay (currency units per period) and Group B average pay (currency units per period). The formula is (group_a_pay - group_b_pay) / group_a_pay * 100.

How to use the Gender Pay Gap Calculator

Enter average pay for each group using the same currency, pay basis, and time period. For example, compare annual averages with annual averages, or hourly averages with hourly averages. The figures should be comparable before entering them. The tool accepts Group A values from 1 to 1,000,000 and Group B values from 0 to 1,000,000, in currency units per period. Its initial example values are 30 and 24.

  • Define Group A and Group B. Use clear definitions, such as women and men in a specified workforce, while recognizing that a two-group comparison does not represent every gender identity.
  • Choose the pay measure. Decide whether the averages represent hourly pay, weekly pay, annual salary, or another consistent measure.
  • Enter both averages. Use figures drawn from the same population and time frame, and use the same treatment of bonuses or other compensation.
  • Read the percentage with its direction. A positive result means Group B's average is below Group A's. A negative result means Group B's average is above Group A's.

For the default values, Group A earns 30 currency units per period and Group B earns 24. The difference is 30 − 24 = 6. Dividing by Group A's average gives 6 ÷ 30 = 0.2. Multiplying by 100 produces a 20.00% pay gap. The result means Group B's average is 20 percent lower than Group A's average under these inputs. It does not mean each person in Group B is paid 20 percent less than a comparable person in Group A.

How the Gender Pay Gap Calculator formula works

The calculation is (Group A average pay − Group B average pay) ÷ Group A average pay × 100. Group A is the reference point, so changing which group is assigned to A changes both the direction and the percentage. The denominator must be greater than zero. The calculator's minimum Group A input of 1 prevents division by zero.

Because the formula uses averages, it measures an overall difference between the two reported averages. It is often called an unadjusted or raw gap when the calculation does not account for differences in job characteristics or other factors. The calculation itself cannot determine whether the data is complete, whether the groups are comparable, or what explains the outcome.

A percentage also depends on the chosen reference group. If Group A averages 30 and Group B averages 24, the result is 20 percent. Reversing the groups yields (24 − 30) ÷ 24 × 100, or −25 percent. These are consistent descriptions of the same two figures from different reference points. State the group order whenever sharing a result.

Use cases for the Gender Pay Gap Calculator

A simple average comparison can help people communicate descriptive workforce data, prepare questions for a deeper review, or track a measure over time when definitions remain stable. For example, a research team focused on equity and demographics might compare published average hourly pay figures across two defined populations, then investigate how occupation, work hours, or seniority relate to the pattern.

Before comparing results across departments, employers, or years, confirm that the underlying definitions match. A change in the groups included, pay period, compensation components, or data collection method can alter the percentage even when individual pay practices have not changed. Keep a note of the source, date, population, and exclusions alongside the result.

Useful applications include:

  • Summarizing a clearly defined pair of average pay figures.
  • Showing how the result changes when using a different reporting period or population.
  • Identifying questions for further analysis, such as whether representation differs across job levels.
  • Presenting a transparent example of how a percentage gap is calculated.

Use care when describing findings. A group average describes a group-level pattern. It does not show an individual's pay, prove discrimination, or explain a cause. Smaller groups can also produce unstable averages or risk exposing individual information, so consider privacy and sample size when handling detailed data.

Other factors to consider when calculating a gender pay gap

The inputs are only as meaningful as the definitions behind them. Decide whether pay means base salary, hourly wages, total compensation, or another measure. Clarify how part-time schedules, overtime, bonuses, temporary work, and leave are treated. If annual salary is used, differences in hours worked or periods of employment may affect the comparison.

Group definitions matter too. Gender categories vary across datasets, and a binary comparison can omit people who identify outside those categories or whose information is unavailable. Describe the population represented and avoid treating missing data as evidence that a group does not exist. If privacy rules or ethical standards apply to your data, follow the relevant guidance for collection and reporting.

To investigate the reasons behind a gap, analysts may examine pay within comparable roles and account for job level, tenure, occupation, location, hours, and other relevant variables. Such analysis requires sound data and appropriate methods. The simple calculator does not adjust for those factors and should not be presented as an adjusted pay equity study. For formal reporting or employment decisions, use qualified analysis and applicable authoritative guidance.

Gender Pay Gap Calculator FAQ

What does a positive pay gap mean?

A positive result means Group B's average is lower than Group A's average, expressed as a percentage of Group A's pay. Identify the groups and pay measure when communicating the result so readers can interpret the direction correctly.

Can the result be negative?

Yes. A negative result means Group B's average is higher than Group A's. The formula preserves direction rather than converting every difference into a positive number.

Does this result prove unequal pay for equal work?

No. It compares group averages and does not compare people doing the same or comparable work. It also does not adjust for job roles, hours, seniority, or other factors. A deeper analysis is needed to address those questions.

Can I compare hourly pay with annual salary?

No. Use the same pay basis and time period for both inputs. Mixing hourly and annual figures produces a percentage with no meaningful interpretation.

What if Group A's average pay is zero?

The calculator requires Group A pay to be at least 1 currency unit per period because the formula divides by that value. If your reference group's average is zero or unavailable, this percentage formula cannot provide a valid comparison. Choose an appropriate positive reference figure only when supported by the data, or use another clearly explained method.

Written by

racialjusticeproject.com Editorial Team

Editorial team

racialjusticeproject.com publishes practical how-to guides and educational articles with clear steps and useful context.