Your benchmark is derived from real industry data, including emissions data from leading companies, to provide an accurate, sector-specific range.
Our benchmark calculations leverage real emissions data, capturing a meaningful performance range for companies within your industry.
Here’s a deeper look at our process and how benchmarks evolve:
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Data Collection and Sources: We initially created benchmarks by gathering emissions data from high-scoring companies in the CDP (Carbon Disclosure Project) and from verified sources within our database. Over 220 emission factors (EFs) were collected and tagged according to product categories from the European Product Classification (EPC). This allowed us to establish benchmarks specifically relevant to different sectors.
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Calculation Methodology: To highlight realistic performance while detecting outliers, we applied a 68% lognormal distribution to our smaller dataset. This approach makes benchmarks more precise, as it naturally suits environmental data, which tends to show a long positive tail (a few higher-intensity emissions values within each sector). For sectors where we lack enough real data, we use broader Exiobase benchmarks until sufficient data becomes available.
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Ongoing Updates and Expanding Data: As we receive more emission factors—nearly 200 additional supplier EFs will be added soon—our benchmarks will be recalculated. With this increased data, we are planning to adopt a 95% confidence interval, broadening the benchmark range to better reflect the growing data sample. This helps us continue providing accurate, relevant benchmarks.
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Handling Outliers: Occasionally, a user’s emissions data may fall outside the expected range. If your data is an outlier, this might indicate a reporting anomaly. We recommend double-checking your data for accuracy. If it is correct, please contact us so we can review it; validated outliers help refine our model, potentially adjusting the benchmark to ensure it accurately reflects the industry’s evolving standards.
Our benchmarks are dynamic, adapting as more users contribute data and as the industry changes. This ensures your emissions insights stay as accurate and relevant as possible, supporting you in achieving meaningful environmental goals.