First Street Dataset and Portal

The Vendor is required to provide for first street dataset and portal.
- The goal is to provide a clear, data-informed framework that supports targeted policy interventions aimed at prioritizing insurance availability in high-risk areas.
- To support the ongoing analysis of wildfire-distressed areas, agency aims to acquire property-level wildfire hazard data.
- The property-level wildfire risk score will inform and assist identifying the most atrisk properties to prioritize mitigation funding and measure the effectiveness of wildfire hardening measures.
- Risk scores should be expressed as annual burning probability of impact with varying flame length thresholds.
- The assessment methodology should integrate both historical loss data and physics-based modeling of hazard exposure, accounting for fuel loads, terrain characteristics, weather patterns, proximity to wildland-urban interface, and local fire suppression capacity.
- Climate projections should be derived from peer-reviewed climate models and cover multiple time horizons (2030, 2050, 2100) and emissions scenarios.
- Provide property-level attribute data including estimated replacement values, building characteristics, and geocoded location identifiers.
- The dataset should not contain personally identifiable information (PII) for individual property owners. The focus should be on providing aggregated exposure data at the property or parcel level that enables risk modeling and analysis without compromising privacy or violating data protection requirements.