ESG Data Guide 2024

MainStreet Partners - GSS Bonds Data&Ratings

Data category

  • Environmental data
  • Ratings
  • Research data
  • Social data

The data offers solutions for:

  • Environmental impact analysis and insight
  • Investment decisions and portfolio insight
  • Nature-based information: Land use
  • Nature-based information: Water
  • Norms-based screening
  • Reporting: Impact
  • Reporting: Other Regulations
  • Reporting: SFDR
  • Reporting: UN SDGs
  • Social impact analysis and insight

Who are the data users?

  • Financial institutions
  • Investors
  • Trustees

Brief description of the data offering

A specialized ESG and Impact database of Green, Social, Sustainability and Sustainability-Linked (GSS) Bonds used by asset managers for portfolio management, and regulatory and commercial reporting. One of the oldest (started in 2010) and most complete GSS Bonds dataset in the market, including over 120 data fields that provide a 360-degrees state-of-the-art toolkit on GSS Bonds. Data includes:


ESG Ratings, including data on Sustainability-Linked Bonds such as KPIs, SPTs, financial penalties, and performance against SPTs.


Taxonomy Alignment, leveraging project-level analysis of each instrument against Climate Change Mitigation.


Use of Proceeds, including category type (e.g. Renewable Energy) and geographical allocation.


Impact Results, extracted from post-issuance documents and verified by the team.


SDGs Alignment, also extracted and verified from issuer documents.


Where and how do you source your data?

MainStreet Partners collects relevant information for each GSS Bond by reference to documents or reports published by the issuer, public information provided by third parties (Second Party Opinions), public data or data obtained by engaging with the issuer directly. Most data are sourced directly from GSS Bonds issuers public resources, namely: Frameworks, Allocation Reports and Impact Reports. These are usually pdf documents. The information is then analysed against an internal methodology to ensure consistency within the dataset and is updated monthly. 


Systems are equipped with automated data input validation mechanisms that examine incoming data for adherence to predefined standards. These validation checks include format validation, range checks, and data type verification, ensuring that only accurate and valid data is accepted.

What is the cost for your data offering?

Please contact to learn more.



Guide entries by MainStreet Partners