This disclosure asks an organisation to explain how many people work for it but are not on its payroll as employees. In practice, that means identifying the main groups of non-employee workers it relies on, such as contractors, agency workers, or other outsourced labour, and describing their role in the business. The point is to show the scale and nature of this workforce, not just the headcount of direct employees.
The practical focus is on coverage across the organisation’s operations, not only at flagship sites or headquarters. A useful report should reflect where non-employee workers are used, how significant they are in different parts of the business, and whether the organisation’s picture is complete across sites, functions, and geographies. If the workforce mix varies materially, that variation should be made clear rather than averaged away.
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 non-employee worker count and supporting notes
Translate the disclosure into an internal business question — then adapt it to your organisation's own language.
Use your organisation’s own labels first, then map them to the reporting disclosure. For example, if you say contractors, agency staff, casual labour, outsourced site teams or contingent labour internally, use those terms in the request and only translate them later for reporting. Check the official source before sign-off.
Please provide the GRI 2-8 data on workers who are not employees, including methodology and fluctuations.
Why it fails: It uses framework language that many operational teams will not recognise, and it does not say which internal records, categories, counting basis, or change explanations are needed. That makes it harder to answer quickly and increases the chance of an incomplete return.
Please send the non-payroll worker numbers for [period] for [site/business unit], using your own category names. Include the total count, the kinds of work they did, how you counted them, whether the figure is a snapshot or an average, the source file/system, and any major rises or falls with the reasons. We will map your terms to the reporting disclosure after review.
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 the controlled non-employee workforce, including the unit used for the figure and whether it reflects a point in time, an average, or another basis, together with any key assumptions.
Explain what the total means in practice by naming the main worker groups, their contractual set-up, and the kinds of work they carry out for the organisation.
Describe any material rises or falls in the number of controlled non-employee workers during the year, and compare the period with the previous one where that helps explain the movement.
Preparation tools & forms
Professional preparation tools for GRI 2-8 — 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 counted 180 non-employee workers whose day-to-day work we direct, using a headcount taken at the period end. Most were agency cleaners and maintenance technicians on short-term service contracts, and the main work involved site cleaning, basic repairs, and reception cover. The number rose sharply in the final quarter because of a new contract win, then eased slightly after the mobilisation phase.
Synthetic illustration only. Shows how to explain the count basis, timing basis, worker mix, work performed, and the main movement in the period.
Our year-end headcount for controlled non-employee workers was 74, made up mainly of labour-hire packers and seasonal line operatives on assignment-based contracts. They mainly handled packing, pallet movement, and quality checks; the total was lower than the prior year because the summer peak was shorter, although it still climbed above the quarterly average during harvest processing.
Synthetic illustration only. Shows how to describe the counting method, the point-in-time basis, the main worker groups and tasks, and the change versus the prior period.
How companies report GRI 2-8
Real reports where this topic is disclosed. These are report practice, not exact disclosure templates to copy.

Scenarios to work through
A facilities team uses 48 agency cleaners and 12 security contractors at year end. The cleaners work under site supervisors, while the security staff are engaged through a service provider with different shift patterns.
A logistics business has 30 temporary warehouse pickers and 20 outsourced maintenance technicians. The pickers are counted as headcount, but the technicians are scheduled through a contractor and are only present on certain days.
A retailer reports 90 non-staff workers at the year end, but the number ranged from 60 to 140 during the year because of a seasonal peak. The draft note only gives the year-end figure.
A manufacturing site used 70 contract workers in the first half of the year and 25 in the second half after automation reduced the need for labour. Last year the site used 40 throughout the year, so the movement is material.
Related framework references
How this disclosure maps across the major reporting frameworks.
Questions this page answers
The page says to prepare five datapoints: the mix of non-employee workers, the types of work they do, the counting method, the timing basis, and any swings in worker counts. Use those as your starting checklist before you draft anything.
Use it as a working sequence for scoping, collecting the right inputs, and turning them into a draft disclosure. It is designed to help a sustainability, HR or data owner move from raw data to a report-ready narrative.
The page focuses on non-employee worker mix and non-employee work types, so scope should be set around which non-employees are included and how their work is grouped. Keep the scope clear enough that the counts and narrative can be traced back to the same population.
The page tells you to disclose the counting method used, so you need to choose a method that fits your data source and can be explained consistently. The key is to document it clearly and keep it aligned with the timing basis and any worker count swings.
The page flags timing basis as a datapoint to prepare, so you should record the point in time or period your counts relate to. Make sure the timing basis is stated clearly enough for a reviewer to understand how the numbers were produced.
The page says to prepare worker count swings, so you should identify any material changes and explain them in plain language. Keep the explanation tied to the same scope and counting approach used in the rest of the disclosure.
The page is aimed at sustainability/ESG managers, HR and data owners, and assurance reviewers, so ownership should sit with the people who can source, check and explain the data. Assign clear responsibility for the numbers, the method, and the evidence pack.
The page includes an evidence pack with five items for assurance readiness, so you should assemble those supporting documents before finalising the disclosure. The aim is to make the data, method and claims easy to verify.
The page says there are four assurance claims to check, each with a claim, risk and evidence point. Use them to test whether the disclosure is supported, consistent and ready for review.
The page lists common reporting gaps and mistakes, so use that section as a pre-submission check. It is there to help you spot missing scope detail, weak method explanation or unsupported numbers before the draft goes out.
The workbook is a downloadable .xlsx designed to help you prepare the disclosure and get assurance-ready. Use it to organise the required datapoints, evidence and checks before you draft the final text.
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