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Gender Pay Gap Calculator

Gender Pay Gap Formula:

\[ \text{Gap} = \frac{\text{Male Median} - \text{Female Median}}{\text{Male Median}} \times 100\% \]

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1. What is the Gender Pay Gap?

The gender pay gap measures the difference between men's and women's average earnings in the workforce. It's expressed as a percentage of men's earnings and highlights inequality in compensation between genders.

2. How Does the Calculator Work?

The calculator uses the standard gender pay gap formula:

\[ \text{Gap} = \frac{\text{Male Median} - \text{Female Median}}{\text{Male Median}} \times 100\% \]

Where:

Explanation: The formula calculates what percentage less women earn compared to men for the same or similar work.

3. Importance of Gender Pay Gap Calculation

Details: Calculating the gender pay gap helps identify wage disparities, supports equal pay initiatives, and provides data for policy-making to address workplace inequality.

4. Using the Calculator

Tips: Enter the median salaries for male and female employees in your chosen currency. Both values must be valid (male median > 0, female median ≥ 0).

5. Frequently Asked Questions (FAQ)

Q1: What's considered a significant gender pay gap?
A: While 0% is ideal, gaps above 5% are generally considered significant and worth investigating for potential discrimination.

Q2: Does this account for different roles or experience levels?
A: This is a raw gap calculation. For more detailed analysis, adjusted pay gaps that account for job type, experience, etc. should be calculated separately.

Q3: Why use median instead of average salary?
A: Median (middle value) is less affected by extreme high or low salaries and better represents typical earnings.

Q4: What's the global average gender pay gap?
A: According to recent studies, the global gender pay gap averages around 16-20%, varying significantly by country and industry.

Q5: How can organizations reduce their gender pay gap?
A: Strategies include pay transparency, regular pay audits, standardized pay scales, and addressing unconscious bias in hiring and promotions.

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