Gender Pay Gap Report Gen
Compute the six statutory UK Gender Pay Gap metrics and export them to CSV
UK employers with 250 or more relevant employees must publish six statutory Gender Pay Gap figures every year, and assembling them by hand from payroll spreadsheets is slow, error-prone and hard to defend. This module computes all six metrics — mean and median hourly pay gaps, mean and median bonus gaps, bonus participation and the four-band pay-quartile split — directly from your Odoo HR data using standard mean, median and quartile-banding methodology. A wizard populates the report straight from hr.employee, a year-on-year comparison shows whether the gap is closing, and a narrative statement is drafted for you. Results export to a clean CSV ready for your own upload to gender-pay-gap-data.service.gov.uk. No filing is performed: you stay fully in control of the official return.
Key Features
All six statutory metrics computed
_compute_metrics on gpg.report derives mean and median hourly pay gaps, mean and median bonus gaps, and the percentage of men and women receiving a bonus straight from the employee lines. Every figure UK reporting requires is produced without hand-built spreadsheet formulas.
Four pay-quartile distribution
_compute_quartiles ranks the workforce by hourly_pay and splits it into four near-equal contiguous bands, returning the percentage of women in the lower, lower-middle, upper-middle and upper quartiles. This is the proportion-by-quartile figure required for publication.
Median and mean by official method
Internal _median and _mean helpers implement proper median (even/odd handling) and mean, and _gap_pct expresses each gap as a percentage of the male figure where a positive value means women are paid less. Calculations follow the standard government methodology.
Hourly pay derived from pay and hours
Each gpg.employee.line computes hourly_pay from ordinary_pay and contracted weekly_hours (overridable), and flags received_bonus automatically when bonus_amount is positive. Each line's quartile band is computed and stored so per-employee placement is visible.
Populate from HR in one step
The gpg.populate.wizard searches hr.employee by company and optional departments, optionally only those with a gender set, and creates lines pre-filled with name, gender and wage from contract_id. You start from your real workforce instead of typing names by hand.
Year-on-year comparison and trend
gpg.comparison takes a current and prior gpg.report for the same company and computes the percentage-point delta on each pay and bonus gap, classifying the overall trend as improving, stable or worsening with a narrative summary for boards and trustees.
Auto-drafted narrative statement
action_generate_narrative writes a plain-English statement into the report's note field, describing the mean and median gaps, bonus participation and quartile representation of women. The published narrative most employers must accompany their figures with is drafted for you.
Clean CSV export and workflow states
action_export_csv writes the labelled metric rows to a CSV download for your own upload to the gender-pay-gap-data.service.gov.uk service, with a draft/computed/published state on mail.thread and a 250-employee threshold flag. No filing is performed; you stay in control of the official return.
Use Cases
Screenshots
Gpg Employee Lines
Gpg Reports
Why Choose This Module
UK employers with 250+ employees must publish six statutory Gender Pay Gap figures every year — and assembling them by hand from payroll spreadsheets is slow and error-prone. This module computes all six directly from your Odoo HR data using the official ONS methodology, and exports a clean CSV ready for your gender-pay-gap-data.service.gov.uk submission. No filing is performed — you stay in control of the official return.
Specifications
- Compatible: Odoo 18.0 / 19.0
- License: OPL-1
- Languages: English
- Author: Pokutsoft
- Dependencies: hr
- Support: support@pokutsoft.com
Update date: 2026-07-02