Climate Risk Analytics – Chronic Perils
Nationwide chronic peril indices and property risk scores
Comprehensive chronic climate risk assessment
Cotality’s Climate Risk Analytics (CRA) Chronic Perils solution addresses long-term climate changes like sustained heat or drought. The dataset delivers 84 indices covering four physical risks: cold wave, heat wave, extreme precipitation, and drought, along with property-specific risk scores (scaled 1-100).
The solution employs catastrophe models tailored for Climate Risk, using IPCC-prescribed scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) across current and future years (2030, 2040, 2050). This yields detailed Chronic Peril indices for each scenario.
Organizations can use this AI-ready data to identify, score, disclose, and standardize property risks by converting them into economic impact.


Key product attributes
- Cold wave risk score
- Heat wave risk score
- Extreme precipitation risk score
- Drought risk score
- Unique indices for each peril
- Property use type
- Climate timeframe
- Geospatial – Parcel/structural level
- Nationwide dataset (continental United States plus Washington, D.C.)
- AI-ready data (delivered with semantic companion files)
Pricing varies based on timeframe, geography, and delivery frequency.
FAQ
What are the primary use cases for Climate Risk Analytics – Chronic Perils?
This solution is used to identify, score, and disclose property risk scores as they apply to the four chronic perils, and to standardize and convert risks into potential economic impact. Organizations use this data to perform portfolio-wide climate stress tests, complete ESG financial disclosures, guide regional infrastructure planning, and standardize physical risks by converting them into quantifiable financial or economic impacts.
What specific variables are included in this climate dataset?
This dataset covers the continental United States and Washington DC, and includes cold wave risk score, heat wave risk score, extreme precipitation risk score, drought risk score, unique indices for each peril, property use type, climate timeframe, and geospatial – parcel/structure level. Every record includes property use type classification, climate timeframes (Base, 2030, 2040, 2050), and precise geospatial parcel boundaries.
How can our technical team access and integrate this data?
Data integration is seamless and cloud-neutral. We support direct queries through our no-code platform Araya™, secure SFTP flat-file delivery (CSV or Parquet formats), or native data shares across major cloud environments including Databricks Marketplace, Snowflake AI Data Cloud, Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.
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