How to run the internal pay analysis (pay transparency)

What is it for?

It compares, by professional category, the pay of women with that of men: how many there are, the mean, the median and the gap as a percentage. It is an internal tool for the company to see where there are differences to explain.

It is not the legal pay transparency report. The screen warns you: that report “does not exist in the law yet”. The analysis is not submitted to anyone. This analysis does not replace any obligation under Law no. 60/2018 (equal pay for women and men for equal work or work of equal value). Pending validation by a certified accountant: what the law will require of the company and which pay the official report refers to.

When to use it?

• To prepare the company for pay transparency and look at the gaps before anyone asks for them.
• When management wants to know whether a category pays women and men differently.

Where to find it?

Payroll › Close and review › Human resources maps › Internal pay analysis

Before you start

• Human Resources profile, with which the whole walkthrough in this article was done. The Payroll Processor profile does not have this menu.
• Each employee has Sex filled in (Male or Female) on their file, in People. Without it the analysis is empty (see “Common problems”). In the demo, it was filled in: Ana Margarida Pinto, Carla Sofia Mendes, Eva Cristina Rocha and Gabriela Sousa Reis as Female; Bruno Miguel Teixeira, Diogo Ferreira Lopes, Fábio Nuno Carvalho and Hugo Miguel Santos as Male.
• The employees have a contract with a professional category. In the demo, all of them are in “Qualified professionals (level 5)”.

How to use it

1. Open Payroll › Close and review › Human resources maps › Internal pay analysis. A window opens with today's date in Reference date (in the example, 02/11/2026).
2. If you want another day, enter it in Reference date: the pay in force on that day is the one analysed.
3. Click Calculate. Minimum workers per group changes to 3 and the Professional category list is filled in: Women, Men, Group too small, Mean (women), Mean (men), Median (women), Median (men), Gap of the mean (%) and Gap of the median (%).
4. Read the line of each category. In the example, the 4 women have a mean of 1,515.00 € and a median of 1,430.00 €, and the 4 men a mean of 1,375.00 € and a median of 1,350.00 €.
5. Click Close when you finish. The window does not save the result: when you open it again, it is calculated again.

Example. The amounts match the September 2026 gross pay: women 2,400.00 + 1,900.00 + 960.00 + 800.00 = 6,060.00 €, giving a mean of 1,515.00 €; men 1,650.00 + 1,150.00 + 1,450.00 + 1,250.00 = 5,500.00 €, a mean of 1,375.00 €. The Gap of the mean (%) of -10.18 is (1,375.00 − 1,515.00) ÷ 1,375.00: it is calculated on the men's pay, and the negative sign means that, in this category, women earn more than men. The Gap of the median (%) of -5.93 is (1,350.00 − 1,430.00) ÷ 1,350.00.

Expected result

• One line per professional category with at least 3 people of each sex.
• Positive gap: men earn more than women. Negative: women earn more.

Important notes

• Small groups. A group with fewer than 3 employees of one of the sexes (Minimum workers per group) is marked in Group too small, so as not to identify anyone. This was tested by changing 3 men to Female: the category ended up with 7 women and 1 man, and the means, medians and gaps show 0.00. That 0.00 does not mean “no gap”: it means “not calculated”.
• What the analysis does not do. It does not break down by seniority, job, working hours or part-time: Gabriela Sousa Reis, who is part-time, is included with the amount on her file. It only sees the categories filled in on the employee's file. Two people with the same category but different jobs count in the same group.
• Personal data. Sex and individual pay are personal data; the analysis only shows groups, but whoever sees it sees what comes out of each small group. Check who has access to the menu before sharing it.

Common problems

The list is empty

• Symptom: after Calculate, Minimum workers per group shows 3 and the Professional category list has no lines, with no message.
• Cause: none of the 8 employees had Sex filled in (that was the state of the demo).
• What to do: open each file in People, fill in Sex and click Calculate again.

The group shows everything at 0.00

• Symptom: the category shows 7 and 1 employees and means at 0.00.
• Cause: the group has fewer than 3 people of one of the sexes; the value is not calculated.
• What to do: read Group too small as “no result”.