ESG Indicators

ESG Indicators sourced from company reports

The Pladifes project retrieved a dataset of raw data directly sourced from corporates reports in the context of a partnership with a startup. This data is coming from sustainability reports and have been validated and consolidated into an Excel file. It contains more than 13 500 companies among the largest market caps in 102 countries and 154 industries, is available for 2018, 2019 and 2020, and regroups 15 environmental, social and governance indicators (when available in the reports).

Alternatively, to access updated data, we recommend interested users to check on EUROFIDAI ESG Data (for academic users only), as it proposes more complete and up to data ESG indicators.

More Details Data guide

Corporate ESG raw data
(Access on demand)

This is the orginal dataset retrieved from the startup Impactfull. The data is based on company declarations and quality checks have been performed to ensure reliability. This dataset will be updated in 2023 to include more recent values..
  • Contact us to get more information or access to the full dataset.
    • Data is free of charge for academic projects but associated publications must cite the Pladifes project (ANR-21-ESRE-0036). Data can be delivered to other practitioners for a marginal cost.
Sample of the dataset API (Access required)


Corporate ESG data with imputed values
(Access on demand)

The previous dataset contains a significant amount of missing values which can limit its usability. To overcome this issue, we propose an alternative dataset with imputed values. This Excel file is based on a data challenge proposed on the Challenge Data platform on January 2023 (Access the challenge). The used methodology has been updated in January 2024 and now correspond to the winning one.
  • contact us to get more information or access to the full dataset.
    • Data is free of charge for academic projects but associated publications must cite the Pladifes project (ANR-21-ESRE-0036). Data can be delivered to other practitioners for a marginal cost.
Sample of the dataset API (Access required)