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Explore Our DataDid you know that the acceleration of natural disasters potentially pose a risk to your property portfolio?
Uncover industry-leading climate risk data to make informed decisions fast. CoreLogic’s Climate Risk Analytics solution combines risk modeling with property data, replacement costs, and natural hazard insights to understand how potential climate scenarios could impact your assets.
Our proprietary, CoreAI-powered climate models calculate what can happen and where, helping you protect your bottom line.When it comes to property portfolios, understanding the financial impact of climate-driven physical risk — both today and in the future — requires hyper-local insights. To achieve that, you need a precise climate risk assessment that includes comprehensive data for each individual peril.
Whether you want to assess a single property or an entire portfolio, our CoreAI-powered models assign a unique risk score for each property based on 13 perils and sub-perils. This helps provide a detailed understanding of what exactly threatens your assets and how potential climate scenarios will impact your property values.
All U.S. properties are linked by CLIP, CoreLogic’s unique property ID, ensuring completeness and accuracy across portfolios.Starting with highly curated data, Climate Risk Analytics uses high-resolution dynamical downscaling, CoreAI-powered models, and experts on our advanced Weather Sciences Team to accurately assess projected financial impact losses for every structure in the continental U.S.
Our Climate Risk Analytics solution is built on four key pillars:
Property-Level Physical Insights: We directly source first-floor height (FFH), building age, unique structure characteristics, and more.
Property-Level Financial Details: We include accurate replacement cost value (RCV) and automated valuation models (THVx).
Specific Peril Impacts: We incorporate 13 perils and sub-perils, including frequency and severity of the damage exacted on properties.
Climate Scenarios: We examine pathways along which specific environmental conditions change at the macro level. When dynamically and statistically downscaled, this is locally applied using our third-generation, large peril event set.
Get the data you want in the format you need.
Araya™: Access climate risk insights on Araya — Corelogic’s property and location intelligence platform designed to transform how property professionals navigate the dynamic property ecosystem. Unlock comprehensive market, portfolio, and property insights quickly and easily. And do it all in one place. Stay on top of the ever-changing real estate market with updated industry news and information.
Cloud: CoreLogic meets you where you work. Access real-time Climate Risk Analytics faster and with lower implementation costs on platforms your organization already uses, such as Snowflake, Databricks, Google Cloud, and more. Enable your data scientists and analysts to integrate CoreLogic’s AI-powered datasets into existing workflows within a secured cloud environment.
Workbench: Seamlessly integrate your data with ready-to-use analytics to unlock actionable property insights. Explore and evaluate your use cases in a secure environment using industry-standard tools along with support from CoreLogic data scientists.
API: Automate your risk management workflows through our on-demand Climate API. We offer instant, comprehensive climate risk metrics on your property for seamless integration into your organization’s existing data management platforms and endpoints.
Bulk Data: Get full, nationwide access to all parcel and structure risk metrics through a downloadable CSV delivery. This format is ready for easy integration into your existing tools and workflows.
Understanding the nuanced risks of natural hazards requires precise data on property, as well as structure locations, elevations, and specific characteristics that influence exposure and vulnerability.
Property Location: Accurate parcel geocoding (via latitude and longitude coordinates) is crucial to understanding the potential risks of natural disasters. Plus, the ability to pinpoint a property’s location enables reliable assessments of exposure to these hazards.
Property Elevation: Having a comprehensive topographical map with elevation information — also known as a Digital Elevation Model (DEM) — is essential when assessing a property’s natural hazard risk, as the effective use of elevation information can reveal physical conditions on the ground that may increase or decrease a property’s risk of natural hazards. Elevation along with slope and aspect — the orientation of the slope (e.g., north-facing) — can help to visualize and more accurately evaluate the topography and terrain of an individual parcel, helping expose underlying risks.
Structure Location: A structure’s footprint identifies the location and outline of relevant structures on a parcel and includes precise and detailed structure-specific characteristics. These data points enable reliable risk assessment and granular, location-based decision-making.
Structure Elevation: The first-floor height determination is combined with the structure-specific geocoding to allow for the identification of both a structure’s footprint and the elevation on the property.
There are 13 perils and sub-perils, including frequency and severity of damage exacted on properties:
Hurricane Storm Surge
Hurricane Wind
Inland Flood
Wildfire
Severe Convective Storm
Winter Storm
Earthquake (Shake)
Earthquake (Fire Following)
Earthquake (Tsunami)
Cold Wave
Heat Wave
Drought
Precipitation
Know exactly what it will take to rebuild any property.
Square Footage: The size or the square footage of the home is one of the major factors in calculating reconstruction cost. All things being equal, a 4,000-square-foot home will require more materials and labor than a similar quality 1,200-square-foot home.
Year Built: Older homes may have been built with different materials or construction techniques and tend to have smaller rooms than modern open-plan homes, which affects the number of interior walls and thus the cost of materials and labor.
Architectural Style: The style of the home will affect features such as exterior trim, interior trim, and ceiling height, which influences the calculation of the final RCV.
Number of Stories: The number of stories in the home affects building costs, including the cost of the foundation.
Foundation and Roof: The type of foundation, including basement finishes if applicable, is another major factor in RCV as is the roof age, material, and style.
Kitchen and Bathrooms: Kitchen and bathroom cabinets and countertops have a significant effect on RCV along with built-in appliances, bathroom size, and fixtures.
Garages: The size and type of garage — whether attached, built-in, or basement — will also affect the reconstruction cost.
Due to climate change, banks are facing increasing pressure to assess physical risks within their loan portfolios. Accurately identifying properties vulnerable to extreme weather events is critical for maintaining financial stability and mitigating long-term risk. Failing to address these risks could leave portfolios exposed to substantial financial and operational setbacks.
With Climate Risk Analytics, banks can conduct powerful, portfolio-wide risk assessments that reveal the physical risks posed by climate threats like floods, hurricanes, and wildfires. The insights from Climate Risk Analytics equip banks to take immediate action, reinforcing their portfolios against significant climate-related vulnerabilities.
Banks can gain a clearer understanding of potential financial losses related to physical risks. Climate Risk Analytics enables better decision-making around property insurance, lending strategies, and resource allocation, ensuring alignment with physical risk regulatory guidelines and enhancing resilience in the face of climate challenges.
Local, state, and federal governments require instant, granular, and authoritative peril risk metrics in order to make targeted, data-driven decisions that enhance public safety and optimize resource allocation.
Climate Risk Analytics provides a detailed breakdown of risks, such as flooding, wildfire, extreme heat, hurricanes, and more, and it maps them on current conditions as well as future time horizons. This allows governments at every level to proactively prepare for both immediate and long-term impacts, strengthening resilience across communities.
Climate Risk Analytics enables governmental organizations to explore how different climate and development scenarios may impact properties and infrastructure. This flexibility empowers local, state, and federal authorities to plan for potential outcomes, ranging from moderate to extreme scenarios, and ensure the development of robust policies under a variety of future conditions.
Investors need to identify climate threats in their existing portfolios as well as for new acquisitions. Understanding financial risks from extreme weather events and flooding ensures that they can safeguard investments and make smarter decisions for long-term success.
Climate Risk Analytics delivers property-specific data that integrates climate scenarios, peril models, and detailed property information. This enables investors to pinpoint high-risk areas, make strategic adjustments, and protect asset value from climate-related risks.
When equipped with Climate Risk Analytics insights, investors can more accurately estimate potential losses and align their strategies for long-term profitability. Whether adjusting asset allocations, enhancing risk mitigation, or evaluating new investments, Climate Risk Analytics empowers investors to confidently manage climate-driven risks and protect their portfolios.Fill in the form below to contact us.