This disclosure asks an organisation to explain how diverse its governance body and employee population are, using the categories it has chosen to report. In practice, it is about showing the make-up of these groups rather than making a general statement about commitment to diversity. The organisation should present the information clearly enough for readers to understand who is represented and where any gaps or imbalances may be.
The practical focus is on coverage and consistency: the reporting should reflect the organisation’s relevant operations and workforce, not just a few well-known sites or a single business unit. For governance bodies, the emphasis is on the main decision-making group; for employees, it is on the wider workforce picture. The key question is whether the reported data gives a fair view of diversity across the organisation as a whole.
This LRA educational guidance supports disclosure preparation. For the exact requirements, always refer to the official GRI source.
A quick mental checklist before you prepare this disclosure — tick each as you settle it.
Key datapoints to prepare
How to prepare it
Request the diversity split data from HR / People Analytics
Translate the disclosure into an internal business question — then adapt it to your organisation's own language.
Use your organisation’s own people-data labels first, then map them to the reporting categories. For example, ask for the board, committee members, employee groups and any diversity fields already held in your HR or governance systems, rather than using framework wording in the request.
Please send the diversity data for governance bodies and employees in line with the disclosure.
Why it fails: It uses framework language only, so the owner may not know which internal populations, systems or labels to pull from. It also leaves out the period, boundary, counting basis and the specific fields needed to build the extract.
Please send the extract from your people or board systems for [period], using our internal group names. Include the board and any committees we report on, employee categories, gender, age band and any other diversity fields already held, plus the basis used, the source system, and any exclusions.
Notes that turn data into a disclosure
LRA training templates — adapt them to your organisation, and check the official source before sign-off.
State which groups were counted, how each diversity category was defined, and whether the figures cover the full population or only those with recorded data.
Explain what the percentages say about the make-up of the board and workforce, and note whether the picture suggests broad representation or concentration in a few groups.
If the mix has changed since the prior period, point to the main drivers such as recruitment, departures, promotions or changes in how people chose to self-identify.
Preparation tools & forms
Professional preparation tools for GRI 405-1 — free with an LRA Community membership. Register once (it's free) and every download unlocks, together with the Disclosure Library, templates and the LRA AI-assistant.
For each claim, check the evidence
Evidence pack to prepare
Common reporting gaps
Mistakes to avoid when collecting the data
Where judgement is often needed
Illustrative examples
Synthetic, written by LRA — not from a company report, not text from any standard.
Synthetic example only: we show the make-up of our board and senior committees, plus our workforce split by job level. The figures below are illustrative and internally consistent.
Use this disclosure to show how the organisation’s leadership group and workforce are distributed across the requested diversity dimensions, with percentages calculated from the relevant headcount base.
Synthetic example only: we present the composition of our governing group and committees, together with our employee mix by grade. The numbers are illustrative and each percentage is rounded from the headcount shown.
Use this disclosure to present the diversity profile of the top governance group and its committees, and to break down employees by category with a percentage for each category based on the total workforce.
How companies report GRI 405-1
Real reports where this topic is disclosed. These are report practice, not exact disclosure templates to copy.

Scenarios to work through
A listed group has a board of 10 people and two board committees. The draft note gives the board split by gender and age, but it leaves out the extra diversity factors the company uses in its own reporting framework.
A company has three employee bands in its HR system: senior leaders, managers and all other staff. The draft table shows headcount percentages for senior leaders and managers, but the ‘all other staff’ band is missing because the team thought it was too broad.
A preparer has a draft for the board showing 4 women and 6 men out of 10 directors, and a separate line saying the average age is 52. The team is unsure whether the percentages should be shown for the board as a whole or only for the women and men sub-groups.
An organisation has a small executive committee of 5 people and a wider workforce of 200 employees. The draft report uses one combined table for both groups, but the labels do not make it clear which percentages belong to the committee and which belong to employee bands.
Related framework references
How this disclosure maps across the major reporting frameworks.
Questions this page answers
Start with the page’s plain-language explainer and the step-by-step preparation section, then work through the listed datapoints: gender split, age bands, other diversity markers, governing group, governance share, worker groups and workforce mix. The page is set up to help you turn those inputs into a draft disclosure rather than leaving you with a blank template.
The page points you to seven datapoint areas: gender split, age bands, other diversity markers, governing group, governance share, worker groups and workforce mix. Use those as your collection checklist so you can gather the right source data before writing the narrative.
Use the page’s step-by-step preparation guidance to define what population you are covering and how each datapoint will be counted. The page is designed to help you make those choices consistently before you build the disclosure.
The page is aimed at sustainability/ESG managers, HR or data owners, and assurance reviewers, so ownership can sit with whichever of those roles coordinates the data and sign-off. The key is to assign someone who can pull the source data, check the evidence pack, and keep the draft aligned to the page’s structure.
The page includes an evidence pack with five items and a separate set of six assurance claims to verify. Use those together so you can show the claim, the risk, and the supporting evidence in a way that is ready for review.
The page has a section on common reporting gaps and mistakes, so it is meant to help you spot issues before you finalise the disclosure. A practical use is to compare your draft against the listed datapoints, evidence pack and assurance claims to catch omissions early.
The Download Centre includes a Prep & Assurance workbook in .xlsx format, which is there to help you organise the disclosure work and evidence. Use it alongside the page’s preparation steps, assurance claims and evidence pack to build a cleaner draft.
The Download Centre also includes a printable Library Card in .pdf format, which you can use as a quick reference while preparing the disclosure. It sits alongside the workbook and the page content, so it is useful for checking the key points without reopening the full page.
Yes, the page includes synthetic illustrative example disclosures, including a quantitative table, to show what a draft can look like. Treat them as examples only and adapt them to your own data so the numbers and narrative stay internally consistent.
The page has a draft-output section with visualisation ideas, narrative starters and a GRI content-index line. Use those prompts to convert your collected data into a readable draft and a simple index entry for the disclosure.
The page says ESRS S1 (Own Workforce) is the closest correspondence, so the same underlying data may be reusable across both reporting exercises. The page does not say the requirements are identical, so use it as a cross-check rather than assuming a one-to-one match.
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