ESG Data Guide 2023

Preqin - ESG Solutions

Data category

  • Environmental data
  • Governance data
  • Social data
  • Research data
  • LP and GP transparency metrics; Affiliations; Key ESG Contacts; Regulatory Disclosures for SFDR Articles 3,4 & 5; Fund labels; ESG mandates; Asset/Fund level ESG risk analysis; Asset-level carbon scope 1 & 2 emissions; Asset-level water metrics; Asset-level employee growth/volatility metrics; Asset-level impact potential

The data offers solutions for:

  • Environmental impact analysis and insight
  • Investment decisions and portfolio insight
  • Carbon footprinting
  • Nature-based information: Water
  • Reporting: Impact
  • Reporting: SFDR
  • Reporting: UN SDGs
  • Social impact analysis and insight
  • Transparency KPIs; Fund labels; ESG mandates; GP regulatory disclosures; ESG affiliations; ESG contacts; ESG risk exposure estimates; Private company ESG risk metrics; Positive impact potential

Who are the data users?

  • Investors
  • Corporates
  • Financial institutions
  • Service providers

Brief description of the data offering

Preqin ESG Solutions provide the industry’s most comprehensive ESG intelligence, data and tools, to help alternative assets professionals make data-driven sustainable decisions with confidence, throughout the investment lifecycle. Our ESG data offering, which is split into ESG Profiles, Risk analytics and Impact potential, provides essential data at the firm-, fund- and asset-level. At the firm-level, our KPI-set tracks over 43,000 GPs’ and 17,000 LPs’ ESG integration in their internal operations, investment practices, engagement, regulatory disclosures and affiliations. At the fund-level, we track a variety of ESG-labelled funds, risk exposure, and impact potential. At the asset-level, we track 157,000 private companies’ carbon emissions, water intensity, employee volatility and turnover, impact potential and risk exposure.

Where and how do you source your data?

Our data collection methodology is built on strong relationships, an experienced team of researchers around the globe and refined over two decades. This is further scaled by machine learning techniques to inform and speed up the ESG investment process at various stages. Additionally, this data is sourced directly from Preqin clients and from publicly available sources to ensure the best data quality possible.

  • Transparency KPIs: Sourced directly from notable industry frameworks such as UNPRI, SASB, TCFD and ILP
  • Industry risk estimations: Sourced from SASB materiality framework, carbon and water estimates from CDP and world bank data and employee metrics from company inputs
  • Impact potential: Sourced from GP disclosures, NLP est. model and Preqin’s industry taxonomy

What is the cost for your data offering?

Our solutions are priced according to the needs of our users. For further details, please email


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