This disclosure asks an organisation to explain how many people it employs, and to do so in a way that gives a clear picture of its workforce rather than just a headline total. The emphasis is on employees, not contractors or other workers, and on presenting the information in a way that is understandable and comparable across the reporting period.
In practice, the focus is usually on whether the figures cover the organisation’s full operations, including different sites, countries or business units, rather than only its largest or most visible locations. The key question is whether the reported employee numbers reflect the whole employed workforce and are explained clearly enough for a reader to understand the scope and basis of the count.
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 workforce headcount and mix data
Translate the disclosure into an internal business question — then adapt it to your organisation's own language.
Use your organisation’s own workforce labels first (for example, staff, colleagues, workers, contingent labour, fixed-term, casual, bank, agency, or similar), then map them to the reporting categories needed for sign-off. Keep the request in business language that your team already uses, and only translate into the reporting view at the end.
Please provide the GRI 2-7 employee disclosure data, including the required breakdowns and methodology.
Why it fails: This uses framework wording that may not match how the business stores or talks about the data, so the owner may not know which report, system, or internal categories to pull. It also leaves out the practical details needed to reconcile the numbers, such as the period, boundary, basis, and explanation of movements.
Please send the workforce headcount pack for [period] covering [scope]. Use your normal internal labels for staff groups, gender and region, and include totals, the counting basis, whether the figures are at period end or averaged, the source system, assumptions, and any material changes this period.
Notes that turn data into a disclosure
LRA training templates — adapt them to your organisation, and check the official source before sign-off.
State how you counted people for the reporting period, including what you treated as each employment category and how you assigned gender and region for the breakdowns.
Explain that the figures describe the size and make-up of the workforce at the reporting date, and that the splits help readers understand how employment is distributed across contract type, gender and location.
If the numbers moved materially, note the main operational reasons, such as hiring, departures, contract changes or shifts between regions, and say whether the change was temporary or expected to continue.
Preparation tools & forms
Professional preparation tools for GRI 2-7 — 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.
: we set out our workforce headcount by contract type, gender and region, and also show the split between full-time and other working patterns. The figures below are internally consistent and are for training purposes only.
This example shows how a company can present a single workforce snapshot with separate views by contract status, gender and geography, while keeping the totals aligned across each breakdown.
: we present our workforce counts by employment status, with matching splits by gender and region, plus a separate view of full-time and other working patterns. All numbers are made up for educational use and reconcile within each line.
This example demonstrates a second way to organise the same workforce information, using regional groupings alongside contract type and gender so the reader can see how the totals are built up.
How companies report GRI 2-7
Real reports where this topic is disclosed. These are report practice, not exact disclosure templates to copy.

Scenarios to work through
A group HR report shows 420 people on the payroll at year-end, but the payroll team also has 35 agency workers and 18 contractors on site. The draft note currently mixes all three groups together in one table.
A business has 260 permanent staff, 90 temporary staff, 40 people on zero-hours arrangements, 120 full-time staff and 170 part-time staff. The regional team has only prepared a single overall headcount and says the split by gender can be added later if time allows.
The HR system records 310 employees at the end of the year, but the sustainability team has used an average monthly figure of 298 for the narrative. The draft note does not say which approach was used for the employee tables.
Employee numbers fell from 540 last year to 470 this year after a site closure, while a new shared-service centre added 60 staff in another region. The draft only shows the current-year totals and gives no explanation for the movement.
Related framework references
How this disclosure maps across the major reporting frameworks.
Questions this page answers
Fix the reporting boundary first, then work through the datapoints in the preparation table: define what counts as an employee, choose the counting basis and timing, gather the headcount records for every entity in scope, and build the gender, region and employment-type splits before you draft. The step-by-step sequence is in the preparation section.
You need the total workforce plus breakdowns by gender and by region, and the same splits for each employment category the disclosure recognises — permanent and temporary contracts, full-time and part-time staff, and any non-guaranteed-hours arrangements. The preparation table lists each datapoint with what to capture, an evidence hint and a suggested owner.
Decide which legal entities and operations are in scope and whether that boundary matches your financial reporting boundary or a custom sustainability one, then state which entities are included or excluded and why. The workbook's prep & scoping sheet has an A/B boundary block to record this.
Choose one consistent basis and state it: a simple person count or an FTE approach, and whether the figures are at the reporting-period end or an average across the period. Keep the same basis across periods so the numbers stay comparable, and note the choice alongside the data.
Capture each headcount once, then break it down consistently by gender, by region and by employment category so every subtotal reconciles back to the total. The illustrative example shows the same total presented across each breakdown.
Report each employment category separately and apply the same gender and region splits to each, using definitions you can apply consistently. Document any category that is not used or not material — for example non-guaranteed-hours work — so the omission is explained rather than silent.
Employee data usually comes from HR or the HRIS/payroll system, is consolidated by the sustainability or reporting team, and is checked by the data owner before sign-off. The preparation table names a suggested owning function for each datapoint so accountability is explicit.
An assurer will trace each figure back to source — typically HRIS or payroll extracts, the headcount reconciliation and your scope and boundary notes. The assurance-readiness section lists the evidence pack to keep on file and the claims an assurer commonly probes.
The Prep & Assurance workbook gives you a datapoints sheet to fill in (with per-datapoint risk and evidence-to-check), an evidence-pack sheet, a prep & scoping sheet for the boundary, and a readiness dashboard that flags what is still missing. Download it from the Download Centre.
Confirm every total and subtotal reconciles, the gender and region splits sum to the headcount, the counting basis and boundary are stated, and any major change is explained. The workbook's readiness dashboard turns these into a Yes/No checklist with a single READY indicator.
Set out the reason for any material swing — acquisitions, divestments, restructuring or seasonal effects — and note any restatement of prior-year figures. The draft-output section gives narrative starters for explaining fluctuations alongside the data.
Frequent pitfalls include mixing headcount and FTE without saying so, splits that do not reconcile to the total, an unstated or shifting reporting boundary, and unexplained year-on-year movements. The assurance-readiness section lists the gaps to check for.
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