EU Pay Gap
Calculator
A free tool to upload prepared payroll data, validate it, calculate gender pay gap indicators and export results — without creating an account.
Mean gap on ordinary basic wage or salary.
Median gap on ordinary basic wage or salary.
A clear, structured workflow
Seven self-service steps. You prepare the input file with employee data and test worker categories; the tool validates the data and calculates the pay-gap indicators.
- 01
Prepare your input file
*Use the provided CSV or XLSX template. Include employee data, pay components, job roles, and pre-defined test worker categories.
- 02
Upload data
Drop the file into your browser. Nothing leaves your device.
- 03
Map columns
Match your file columns to the required fields.
- 04
Validate data
Quick checks for missing, invalid or extreme values.
- 05
Calculate indicators
Run the Article 9(1) basic indicator calculations.
- 06
Review results
See the seven indicators, structured and explained.
- 07
Export results
Download a clean results file for your records.
*For this version, users create worker categories themselves and include them in the input file. They do not need to start from scratch: existing job families, job levels, pay grades, or role groups can be used as a practical starting point. Methodology-based job evaluation and category generation will be available in the paid version.
Your payroll data never leaves your browser
No account required
No sign-up. No email. No login. You just use the tool.
No payroll data stored
Your file is not uploaded to any server and not retained anywhere.
Local browser processing
Parsing, validation and calculations all happen on your device.
Safe result exports
Download reports safely in your browser. The tool does not save your exported results.
Required fields in your input file
Prepare a single table where each row is one employee. You can use a CSV or XLSX file — column names don't need to match exactly; you'll map them in the tool.
| Field | Description |
|---|---|
employee_id Employee identifier | Unique per row |
gender Gender | female / male |
job_title Job title | Free text |
worker_category Worker category | Defined by you |
base_pay Ordinary basic wage or salary | Numeric |
variable_pay Complementary or variable pay | Numeric, may be 0 |
fte FTE / working time equivalent | 0 < FTE ≤ 1 |
Catch data issues before you calculate
The tool runs basic checks on your input and flags rows you should review.
The seven Article 9(1) indicators
The report presents the basic indicators required under Article 9(1) of Directive (EU) 2023/970, using the Directive's wording and (a)–(g) lettering.
The gender pay gap
Mean gap on ordinary basic wage or salary.
The gender pay gap in complementary or variable components
Mean gap on bonuses, allowances, overtime and similar — depending on your mapping.
The median gender pay gap
Median gap on ordinary basic wage or salary.
The median gender pay gap in complementary or variable components
Median gap on complementary or variable components.
The proportion of female and male workers receiving complementary or variable components
Share of women and men receiving any complementary or variable pay.
The proportion of female and male workers in each quartile pay band
Distribution of women and men across Q1–Q4 of pay.
The gender pay gap between workers by categories of workers, broken down by ordinary basic wage or salary and complementary or variable components
Per-category breakdown, separating basic pay and complementary or variable pay.
Results depend on the input data and the worker categories you provide. The tool calculates the indicators — it does not make compliance decisions on your behalf.
Take the results with you
Export the calculated indicators as a structured file so your HR, finance, legal or management team can review and archive them.
For personalized export requirements, contact our team at info@revelo.bi.
A paid workspace for deeper analytics and documentation
Need help with job evaluation, worker category formation, deeper analytics and documentation? The paid workspace will help companies structure job roles, evaluate work, form worker categories, explain results and prepare documentation.
Email is optional. We'll only use it to share product updates.