CoreLogic's Wildfire Analytics provide you a property-level assessment of Wildfire Risk

Increasing development of homes near or adjacent to the Wildland Urban Interface (WUI) means increases in wildfire home losses.  The cost to protect these structures is estimated to be in excess of $1 billion each year.  To reduce exposure to loss, insurance companies must ensure that policy premiums and underwriting guidelines correctly reflect potential risk.

CoreLogic's Wildfire Risk database provides the information needed for accurate underwriting by identifying an individual property's risk vulnerability.  Developed using CoreLogic's modeling expertise and the recognized "best practices" of both government and fire research laboratories, the database identifies property risk potential by scoring the risk based on the property's distance to high brush fuel zones, and the distance to the WUI (the boundary zone where populated areas adjoin wildlands).

CoreLogic's Wildfire Risk database consists of two key data layers:

Brushfire Fuel Rank

CoreLogic's Brushfire Fuel Rank data model is designed to assess relative brushfire risk based on four factors: slope, aspect, vegetation (fuel), and vegetation composition. The mathematical combination of these four variables results in a numeric range of values that is subsequently divided into 4 risk categories: Very High, High, Moderate, or Low. This model simplifies the assessment of risk and provides insurers reliable information needed to accurately determine brushfire risk for a defined area or specific location.

FIREbreak+

FIREbreak+ is the first comprehensive tool for accurately assessing the brushfire risk along the WUI.  It identifies a policy's proximity to high risk vegetation and its residential density class, helping insurers make informed risk determinations for AK (populated areas only), CA, CO, FL, ID, MT, NV, NM, OR, UT, WA and WY.

Single Wildfire Risk Score

CoreLogic's Single Wildfire Risk Score rates properties on a 0-100 scale, allowing insurers increased flexibility in determining risk categories, as well as an opportunity to utilize the data in other applications.

Based on CoreLogic's statistical analysis of thousands of wildfire home losses, the four contributors to wildfire loss are weighted to generate a single risk score.  The risk scale offers insurers the option to create a proprietary set of conditional rules so they can:

• Accurately write policies without extensive onsite investigations
• Carefully consider policies in areas where the brushfire risk is disproportionately high due to location characteristics
• Flag locations with potential risk generated by on-property and surrounding (off-property) brushfire risk factors for onsite inspection

Integrated into CoreLogic's insurance solution CATUM, the Wildfire Risk database enables customers to accurately locate and assess insured properties for wildfire risk.