Vai al focus dell’informativa
Gratis · Membri della Community
＋ Mostra 5 in più− Mostra meno
＋ Mostra 5 in più− Mostra meno
Report reali pubblicati
Apri il report →
Apri il report →
Apri il report →
✓ Assistente IA di LRA · Con supervisione umana
Apri la fonte ufficiale →
Explore the ESRS / CSRD course →
ESRS S1: Own Workforce·Disclosure Requirement S1-15
Remuneration
Guida pratica per preparare questa informativa. Usa questa scheda per individuare le informazioni da predisporre, verificare le affermazioni e organizzare le evidenze a supporto. Per i requisiti esatti, fai sempre riferimento alla fonte ufficiale European Commission.
Passaporto pubblicato
Revisione in attesa
···
In revisione
Revisione editoriale in corso
Predisposto a partire da fonti ufficiali e da evidenze di report pubblicati. Non è ancora registrato un approvatore, quindi la pagina non riporta una firma.
Usala insieme alla fonte ufficiale European Commission finché la revisione è in corso.
Standard
ESRS S1: Own Workforce
Disclosure Requirement S1-15 · 2026-5010-final
Ultima revisione
—
Materiale didattico LRA · Non emesso né approvato da European Commission
Per preparare questa informativa
Focus dell’informativa
This disclosure asks an organisation to explain how pay and other forms of remuneration for its own workforce are set and used in practice. The focus is on whether remuneration arrangements are aligned with the organisation’s approach to people management, including how they may support fair treatment, retention, motivation and performance across the workforce.
In practical terms, the reporting should cover the organisation’s own employees as a whole, not just a few selected sites or senior roles. The emphasis is on the main remuneration principles, how they are applied across the business, and any important differences or features that affect different groups of workers.
Questo materiale didattico LRA supporta la preparazione dell’informativa. Per i requisiti esatti, fai sempre riferimento alla fonte ufficiale European Commission.
Prima di iniziare
Prima di iniziare
Una breve checklist prima di preparare questa informativa: spunta ogni voce man mano che la definisci.
Preparazione
Informazioni chiave da preparare
| Campo da preparare | Cosa rilevare | Suggerimento sull’evidenza | Responsabile |
|---|---|---|---|
| Pay gap figure | Capture the reported percentage difference in pay between the relevant groups, using the organisation’s chosen basis and period consistently. | Payroll extracts, pay-gap calculation workbook, and the underlying employee grouping logic used for the reporting period. | Reward / HR analytics |
| Pay ratio figure | Capture the reported ratio comparing pay between the relevant pay levels or groups, using one consistent method and reporting period. | Payroll data, ratio calculation file, and the definition used to select the two pay points or groups. | Reward / HR analytics |
＋ Mostra i sotto-elementi di S1-15 (checklist di lavoro LRA)
Calculate the percentage difference in pay between the two groups being compared, using the method set out in the source disclosure.
Work out the pay ratio between the two groups being compared, using the method set out in the source disclosure.
Come prepararla
Set the reporting boundary first: decide which workforce population and pay records will sit inside this disclosure, so the two figures are built from the same defined group.
Agree the calculation basis for each metric: one measure should show the pay difference as a percentage, and the other should show the relationship between pay levels as a ratio.
Pull together the underlying payroll and HR evidence used for the calculations, and make sure the source data can support how the workforce group was defined.
Prepare the reported outputs in the required form, keeping the percentage gap and the pay ratio separate and clearly labelled.
Record any exclusions, scope choices, or changes in method so a reviewer can see why the numbers were prepared the way they were and whether anything changed from the prior period.
Check the final disclosure against the official source text and the underlying records to confirm the scope, definitions, calculations, and presentation all align before publication.
Richiedi i dati
Request the pay gap and pay ratio data from Reward / Pay Analytics
Traduci l’informativa in una domanda di business interna, poi adattala al linguaggio della tua organizzazione.
What pay gap and pay ratio figures should we use for the reporting period, and what source data and method sit behind them?
Use your organisation’s own pay and reward language first, then map it to the reporting disclosure. For example, ask for your pay gap and pay ratio outputs, the underlying pay files, and the method used to calculate them. Keep the request in the terms your team already uses, and check the source material before sign-off.
Richiesta debole
Please provide the ESRS S1:S1-15 remuneration data and evidence for the disclosure.
Perché non funziona: This uses framework language that many internal owners will not recognise, and it does not say which figures, source files, or calculation details are needed. It is too vague to help the owner pull the right data quickly or to let the reviewer trace the numbers back to the source.
Richiesta migliore
Please send the latest pay gap and pay ratio outputs for [period], together with the source export, calculation basis, scope, and any notes on adjustments or assumptions. Use your team’s usual pay and reward terms, and confirm which version is approved for reporting.
Modello di e-mail formale
Subject: Request for pay gap and pay ratio data for [reporting period] Hello [name/team], We are preparing the sustainability reporting pack and need your help with the pay gap and pay ratio figures for [reporting period]. Please send: - the final figures you would use for [reporting period] - the source file(s) or export(s) used to produce them - the calculation basis and any assumptions or adjustments - the population and boundary included - the internal category labels used in the analysis - any notes needed to explain the output clearly If there are multiple versions, please confirm which one is the latest approved version and who reviewed it. Please share the material by [date]. If anything is unclear, I’m happy to adapt this to your team’s usual terms. Thanks, [Your name]
Versione breve per Teams / Slack
Hi [name] — could you send the latest pay gap and pay ratio figures for [period], plus the source file and any notes on how they were calculated? Please include the boundary, population, and the internal labels used. Thanks.
Esempi di settore
Manufacturing
Contesto. A plant-based group with hourly and salaried staff, multiple sites, and a central reward team.
Richiesta adattata. Hi [name] — for [period], could you share the pay gap and pay ratio figures for the group, plus the payroll export, the calculation basis, and any site or worker-group exclusions? Please include the internal labels you use for hourly, salaried, and bonus-eligible staff.
Esempio di risposta. Attached: 1) approved pay gap workbook, 2) payroll extract from [system], 3) notes showing the group boundary, included staff, and calculation basis, 4) version history and reviewer sign-off.
Financial services
Contesto. A regulated business with multiple legal entities and a central compensation team.
Richiesta adattata. Hello [name/team], please provide the latest pay gap and pay ratio pack for [period] across the entities in scope, including the compensation file, the method used, and any entity-level notes. Please use the internal grade and population labels your team already works with.
Esempio di risposta. Returned: entity list in scope, compensation analysis workbook, source HR/pay export, methodology note, and confirmation of the approved version for reporting.
Redigi la tua informativa
Note che trasformano i dati in un’informativa
Modelli formativi LRA: adattali alla tua organizzazione e verifica la fonte ufficiale prima dell’approvazione.
Nota metodologica
State how the two figures were calculated, including the pay basis used, the employee population included, and any exclusions or adjustments applied before the numbers were finalised.
Nota di contesto
Explain what the percentage gap and the pay multiple indicate about the relationship between higher- and lower-paid workers, and note whether the figures point to a wider or narrower spread in pay.
Dichiarazione sulle variazioni
If either figure has changed materially, link the movement to the underlying workforce or pay-setting factors that drove it, such as changes in headcount mix, pay awards, or the composition of the group included in the calculation.
Voce dell’indice dei contenuti
S1-15 Remuneration — [location / page] / [notes]Centro download
Strumenti e moduli per la preparazione
Strumenti professionali di preparazione per S1-15 — gratuiti con l’iscrizione a LRA Community. Registrati una volta (è gratis) e sblocchi tutti i download, insieme alla Biblioteca delle informative, ai modelli e all’assistente IA di LRA.
01XLSCartella di lavoro per preparazione e assurancePunti dato, rischi, evidenze da verificare, responsabile e pacchetto di evidenze.Ottienilo gratis ↧
02XLSPacchetto per la richiesta datiE-mail di richiesta, modello di messaggio, campi di risposta e struttura di approvazione.Ottienilo gratis ↧
03PDFScheda della bibliotecaSintesi stampabile di una pagina di questa scheda informativa.Ottienilo gratis ↧
Preparazione all’assurance
Per ogni affermazione, verifica le evidenze
| Affermazione | Rischio | Evidenze da verificare |
|---|---|---|
| We prepared the coverage figure using our own payroll and HR records, then checked that the population included the relevant staff group for the reporting period and that any exclusions were deliberate and documented. | Assurer will probe whether the headcount basis was complete, whether anyone was left out without a clear reason, and whether the period and population used for the calculation were consistent with the published figure. | ['Payroll extract and HR master data used for the calculation', 'Population reconciliation showing included and excluded employees', 'Documented scope note explaining any exclusions or boundary choices', 'Version-controlled calculation file with period-end cut-off'] |
| For the pay-gap figure, we used gross hourly pay data for men and women and built the calculation from the ordinary salary element plus other pay items available across the workforce, with the method set out in our working papers. | Assurer will test whether the pay inputs were defined consistently, whether the same pay components were used across the dataset, and whether the method was applied in a way that could distort the result. | ['Calculation methodology note', 'Source payroll data showing gross hourly pay inputs', 'List of pay components included in the model', 'Sample recalculation or spreadsheet audit trail'] |
| We disclosed the gap figure together with the contextual split by employee group and/or country where that helped explain the result, and we kept the underlying breakdowns that support the published numbers. | Assurer will check whether the contextual breakdowns match the reported figure, whether the grouping logic was applied consistently, and whether the supporting detail can be traced back to source data. | ['Segmented calculation outputs by employee group and/or country', 'Source data mapping to each segment', 'Narrative explaining why the contextual split was used', 'Reconciliation from segment totals to the published figure'] |
| We calculated the annual pay ratio using the full employee population in scope, the base salary element, and the cash, benefits-in-kind and long-term incentive items covered by our pay policy, then checked the result against the source records before sign-off. | Assurer will probe whether the pay elements were selected correctly, whether the employee population was complete, and whether the ratio was recalculated accurately from the underlying records. | ['Remuneration policy extracts showing included pay elements', 'Employee population listing used in the ratio', 'Source payroll and reward data for each component', 'Independent recalculation or review sign-off'] |
| We published the ratio between the top earner and the middle employee after confirming the ranking method, the treatment of the top earner, and the exclusion of that individual from the median population. | Assurer will test whether the ranking and median approach were applied correctly, whether the highest-paid person was handled consistently, and whether the disclosed ratio can be reproduced from the source data. | ['Ranking and median calculation worksheet', 'Employee pay dataset used for the ratio', 'Explanation of how the top earner was identified and excluded from the median set', 'Reperformance check or internal review evidence'] |
| Before publication, we documented the approach used to compile both pay metrics, including the data sources, the calculation steps, and the main judgement calls made in the process. | Assurer will probe whether the methodology was sufficiently clear to reproduce the figures, whether key assumptions were disclosed, and whether the process was applied consistently across both metrics. | ['Methodology paper covering both metrics', 'Data lineage from source systems to final disclosure', 'List of assumptions, judgements and exclusions', 'Approval record showing review before publication'] |
Pacchetto di evidenze da preparare
Lacune ricorrenti nella rendicontazione
The information is presented without a date or as-at point.
The scope or boundary of the statement is left undefined.
Key terms are used inconsistently across the report.
Material changes since the previous period are not disclosed.
Assertions are made without supporting detail or a source record.
Boilerplate is used that does not actually answer what is asked.
Lacune ricorrenti
Errori da evitare nella raccolta dei dati
Wrong ownerThe team asks the wrong pay or HR contact, so the figures come from someone who does not hold the source records.
Framework language firstPeople ask for the data using disclosure jargon instead of the organisation’s own payroll terms, which slows down the handover and creates confusion.
Scope not pinned downThe request does not state which worker groups, entities, or locations are in scope, so different teams pull different populations.
Wrong period basisThe data is gathered for the wrong reporting window or cut-off date, so the numbers do not match the period being reported.
Mixed counting methodOne team uses headcount while another uses full-time equivalent or another basis, so the pay gap and pay ratio are built from unlike measures.
Source labels lostThe original payroll or HR file names and field labels are stripped out during collection, making it hard to trace each figure back to its source.
Separate groups mergedPeople combine groups that should stay apart, such as different worker categories or pay populations, and the result no longer reflects the underlying records.
Evidence trail missingThe pack is assembled without the supporting file details, version history, or sign-off record, so no one can show how the numbers were checked.
Dove serve spesso un giudizio professionale
Choose one pay-gap basis and keep it consistentDecide whether the gap is built from base pay, total cash, or another internal pay measure, then explain the basis used and keep it stable unless you clearly explain a change.
Set the comparison group at the same point in timeUse one clear cut-off date for the workforce and the comparator group, and disclose that date so readers can see who was in scope for the calculation.
Handle joiners, leavers, and people with partial-year service consistentlyState whether people who were hired, left, or worked only part of the year are included, excluded, or time-adjusted, and apply the same rule across the calculation.
Define the worker population where local labels differIf job titles or employment categories vary by country, map them to one internal grouping rule and explain the mapping so similar roles are treated the same way.
Decide how to treat acquisitions and disposals in the reporting boundaryExplain whether newly acquired or sold entities are included from the transaction date or from the full reporting period, and note any boundary change that affects comparability.
Choose between actual payroll data and estimates where records are incompleteIf some pay elements are missing, say which figures are measured and which are estimated, describe the method used, and flag the parts of the result that are less precise.
Round in a way that does not distort the resultUse one rounding rule for the percentages and the ratio, apply it consistently, and make sure the rounded figures still reflect the underlying calculation.
Protect personal data by grouping small populationsWhere the workforce slice is too small to show safely, aggregate it into a broader group, explain the privacy-driven suppression or grouping approach, and keep the method consistent.
Esempi
Esempi illustrativi
Sintetici, scritti da LRA: non provengono dal report di un’azienda né dal testo di uno standard.
Illustrative (synthetic) example — Manufacturing
: we show a simple pay comparison for our workforce, split by women and men, using average pay and a like-for-like pay comparison. The figures below are illustrative and internally consistent.
Illustrative disclosure showing a workforce pay gap percentage and a pay comparison ratio for a manufacturing reporter.
Illustrative pay comparison for our workforce (people / %)
| Category | Women | Men |
|---|---|---|
| Average pay | 48 | 52 |
| Headcount | 240 | 260 |
Illustrative (synthetic) example — Financial services
: we present a second, different workforce pay comparison for our group, again split by women and men. The numbers are illustrative and internally consistent.
Illustrative disclosure showing a workforce pay gap percentage and a pay comparison ratio for a financial services reporter.
Illustrative pay comparison for our group (people / %)
| Category | Women | Men |
|---|---|---|
| Average pay | 57 | 43 |
| Headcount | 180 | 120 |
Report aziendali
Come le aziende rendicontano S1-15 nella pratica
Esempi di prassi di rendicontazione completa e parziale. Sono analisi basate sulle evidenze, non modelli da copiare.
Sanoma Oyj
Education Services · Finland · 2025
Sanoma Oyj's 2025 Annual Report provides a covered datapoint on the gender pay gap, reporting a 16% gap for 2025 compared to 17% in 2024, along with annual total remuneration figures on page 115. Additional gender-related data include employee gender distribution on page 112 and gender ratios in learning and performance reviews on page 114, but these do not directly address pay gap or remuneration ratios. There is no quotable evidence found elsewhere in the report specifically addressing remuneration ratios beyond the gender pay gap, indicating some gaps in comprehensive disclosure on this topic.
EDP, S.A.
Electric Utilities / IPP / Energy Traders · Portugal · 2025
EDP, S.A.'s 2025 Integrated Annual Report provides several data points related to pay ratios and gender pay gaps, including the ratio of the highest-paid individual’s compensation to the median (p.137, p.529) and pay ratios by gender across different professional categories such as technicians, specialists, and supervisors (p.530). The report also references pay equity mechanisms like the Gender Equality Plan aimed at mitigating pay disparities (p.136) and includes additional social and employee indicators related to pay ratios and human rights (p.555, p.585). However, no comprehensive narrative explanation or detailed analysis of these pay ratio figures was found in the report.
Indra Sistemas, S.A.
Software and Services · Spain · 2025
Indra Sistemas, S.A.'s Sustainability Report 2025 provides data on gender diversity in senior management, showing a predominantly male composition with percentages rising from 75.0% in 2021 to 88.2% in 2025 (p.109). The report also includes employee metrics by gender over several years (p.92) and mentions the gender pay gap and remuneration for similar jobs, though the disclosure on pay gap specifics is unclear or partial (p.91, p.117). Notably, there is no clear, detailed disclosure of the gender pay gap figures or a comprehensive narrative on this topic, leaving some aspects of the pay equity disclosure incomplete or ambiguous.
Chiedi all’assistente IA di Study Studio di questa informativa
Ottieni risposte pratiche per il tuo contesto di rendicontazione. Le prime due risposte sono gratuite: iscriviti gratis a LRA Community per continuare senza limiti.
Prova
Come preparo S1-15?
Quali dati devo raccogliere?
Dove posso vedere un esempio da un report reale?
Quali errori devo evitare?
2 risposte gratuite
Verifica la tua comprensione
Scenari da affrontare
A preparer has the latest payroll extract for the year-end workforce and a separate file for the chief executive’s total pay. The team can calculate the gap between average worker pay and the leader’s pay, but they have not yet checked whether the same basis is used for both figures.
DWhat should the preparer verify before finalising the pay-gap figure?
Mostra la risposta modello →Nascondi la risposta ↑
They should confirm that both sides of the comparison are built on the same measurement basis and cover the same reporting period, so the gap is not distorted by mismatched inputs. If the underlying data are not aligned, the figure should be recalculated before it is used in the disclosure.
Perché è importante · A pay-gap figure is only useful if the two pay amounts being compared are prepared on a consistent basis.
A company has a large bonus accrual for senior staff, while most other employees receive only fixed salary and a small allowance. The preparer is unsure whether to compare total pay or only base salary when preparing the remuneration disclosure.
DHow should the preparer decide what to compare for the remuneration gap and ratio information?
Mostra la risposta modello →Nascondi la risposta ↑
They should use the pay measure that reflects the organisation’s chosen remuneration basis consistently across the comparison, rather than mixing salary-only data for one group with full pay for another. The aim is to make the gap and ratio meaningful and comparable within the same reporting set.
Perché è importante · Use one consistent pay basis across the comparison so the result is not misleading.
The finance team has calculated a pay ratio of 18:1 using the chief executive’s annual pay and the median employee’s annual pay. A reviewer asks whether the ratio alone is enough, or whether the underlying pay-gap information also needs to be prepared.
DWhat should the preparer do with the two remuneration data points?
Mostra la risposta modello →Nascondi la risposta ↑
They should prepare both pieces of information, because the disclosure covers a percentage gap and a pay ratio as separate data points. Each tells a different part of the story, so both need to be available and checked before sign-off.
Perché è importante · Treat the pay gap and the pay ratio as distinct outputs, not as substitutes for one another.
A group prepares its sustainability report centrally, but payroll data sit in several country systems. One subsidiary has not yet confirmed its year-end figures, and the group team is considering using an estimate so the report can be issued on time.
DCan the preparer finalise the remuneration disclosure without the missing subsidiary data?
Mostra la risposta modello →Nascondi la risposta ↑
Not safely. The preparer should first obtain or validate the missing input needed for the comparison, because the remuneration figures depend on complete and aligned data. If an estimate is used, it should be clearly controlled and reviewed before the disclosure is signed off.
Perché è importante · Complete and checked source data are needed before the remuneration comparison is finalised.
Riferimenti al framework
Requisiti ESRS pertinenti e informative correlate
Riferimenti disponibili al framework e informative vicine utili alla preparazione di questo requisito.
ESRS
S1-15
all’interno di ESRS S1: Own Workforce
Correlati ed esplora
Policies (Own Workforce) → SchedaSocial Protection → SchedaDisabilities → SchedaTraining → SchedaHealth & Safety → Scheda
Sfoglia tutte le informative →
Altro in ESRS S1 → Sfoglia il catalogo completo → Home della Biblioteca delle informative → Cerca in tutte le informative →
FAQ
Domande a cui risponde questa pagina
For S1-15 Own Workforce, what data do I need to prepare the pay gap figure and pay ratio figure on this page?+−
The page says the two datapoints to prepare are the pay gap figure and the pay ratio figure. Use the plain-language explainer and the step-by-step preparation section to confirm what you need before drafting the disclosure.
How do I use the step-by-step 'how to prepare' section for S1-15 Own Workforce?+−
Use it as a practical checklist to move from understanding the disclosure to gathering the right inputs and shaping a draft. The page is designed to help you prepare the disclosure rather than to act as an official source.
What should I include in the evidence pack for S1-15 Own Workforce assurance readiness?+−
The page includes an evidence pack with five items to support assurance readiness. Use those items alongside the six assurance claims to verify so you can show how the figures were built and checked.
What are the six assurance claims to verify for S1-15 Own Workforce, and how do I use them?+−
The page lists six assurance claims in a claim/risk/evidence format. Use them to test whether your data, method and supporting documents are strong enough for review before you finalise the disclosure.
What common reporting gaps or mistakes should I watch for when drafting S1-15 Own Workforce?+−
The page includes a list of common reporting gaps and mistakes to help you avoid weak or incomplete reporting. Use that section as a pre-submission check against your draft, data and evidence pack.
How can I use the synthetic illustrative example disclosures on the S1-15 Own Workforce page?+−
They are there to show what a draft disclosure can look like, including a quantitative table. Treat them as examples only and use them to shape your own wording, layout and data presentation.
What is in the S1-15 Own Workforce Prep & Assurance workbook, and when should I use it?+−
The Download Centre includes a Prep & Assurance workbook in .xlsx format. Use it while preparing the disclosure and building your assurance evidence so you can track inputs, checks and draft outputs in one place.
How do I use the printable Library Card PDF for S1-15 Own Workforce?+−
The Download Centre includes a printable Library Card in PDF format. It is a practical companion for working through the page content and keeping the key preparation and assurance points to hand.
How do I turn the S1-15 Own Workforce data into a draft disclosure?+−
The page has a draft-output section with visualisation ideas, narrative starters and a content-index line. Use those elements to turn your prepared figures and evidence into a clear first draft.
Can I use the 'From company reports' table to find real examples of S1-15 Own Workforce reporting?+−
Yes. The page includes a table linking to real published reports at the pages where the topic is disclosed, which can help you see how others present similar information in practice.
Altre domande in cui questa pagina può aiutare
S1-15 Own Workforce pay gap figure: what should I gather before I start drafting?S1-15 Own Workforce pay ratio figure: how do I prepare the inputs and supporting evidence?How do I use the S1-15 Own Workforce step-by-step preparation section as a checklist?What evidence pack items does the S1-15 Own Workforce page expect for assurance readiness?How do I test the six assurance claims on the S1-15 Own Workforce page before review?What are the most common mistakes in S1-15 Own Workforce reporting on this page?How should I use the S1-15 Own Workforce workbook download to track data and checks?What is the best way to use the S1-15 Own Workforce illustrative example disclosure?How do I write the narrative starter for S1-15 Own Workforce using this page?What should go into the content-index line for an S1-15 Own Workforce draft?Where can I find real company report examples for S1-15 Own Workforce on this page?Does the S1-15 Own Workforce page give an official ESRS or IFRS mapping?
Approfondisci · S1-15
Impara a preparare questa informativa dall’inizio alla fine
This guide covers one Disclosure Requirement. The ESRS / CSRD Reporting course walks the full European workflow — double materiality, datapoints, evidence and assurance — with exercises on your own data.
Available as Guided Flex, Live Cohort, 1:1 Expert Mentorship or Corporate Programme.
Come è costruita questa biblioteca
312 report pubblicati indicizzati
63.171 pagine con citazioni a livello di pagina
272 schede disclosure realizzate da professionisti
/it/knowledge-hub/disclosure-cards/esrs-s1-15/
Gratis · LRA Community
Ottieni i tuoi strumenti per S1-15 — gratis
I tuoi strumenti di preparazione sono gratuiti per i membri di LRA Community e per gli studenti. Registrati una volta (è gratis) e il tuo download parte subito — insieme alla Biblioteca delle informative, ai modelli e all’assistente IA di LRA.
✓
Ci sei — il download sta per iniziare
Il file è in download. Anche il tuo Cabinet Community — con la Biblioteca delle informative, i modelli e l’assistente IA di LRA — è pronto.
Apri il tuo Cabinet →