ICE Introduces the ESG Geo-Analyzer for Demographic Data and Property-Level Climate Risk

The ICE ESG Geo-Analyzer has been launched by Intercontinental Exchange, Inc., a global provider of data, technology, and market infrastructure. It uses ICE's geospatial data modelling to provide data and analytics on climate risk and social impact for properties and communities across the U.S.
The ICE ESG Geo-Analyzer is an on-demand platform that analyses the climate risk and social impact characteristics surrounding any location or portfolio of properties in the contiguous United States using location data supplied by the user, including the street address, latitude/longitude, or zip code.
It can be used to examine residential and commercial real estate, whole loan portfolios, real estate holdings, asset-backed securities, as well as the companies and businesses associated with those places. In 2023, the ICE ESG Geo-Analyzer will expand its global coverage.
Elizabeth King, Chief Risk Officer and President of Sustainable Finance at ICE said:
"Physical climate risk poses a growing challenge for property owners, investors, and corporations. The ESG Geo-Analyzer provides innovative climate risk metrics on multiple types of hazards, including wildfires, hurricanes, droughts and floods, as well as social impact data on community demographics and affluence, plus over 100 other fields. This data can provide more transparency into a property or group of properties to help inform risk assessments and decision-making.”
The ICE ESG Geo-Analyzer is a part of ICE's portfolio of sustainable finance products, along with climate risk data for the municipal bond and mortgage-backed security markets, global equity and fixed income corporate ESG indices, and ICE's environmental markets, where more than 100 billion tonnes of carbon allowances, more than 250 million renewable energy certificates, three billion carbon credits, and the equivalent of more than 1.4 billion Renewable Identification Numbers (RINs) have traded.
Source: Geospatial World
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