Episode #70: Zillow looks to provide transparency through climate risk scoring
Bricks & Risk PodcastMay 01, 202500:45:16

Episode #70: Zillow looks to provide transparency through climate risk scoring

In this episode of Bricks and Risk, we dive into some of the biggest conversations happening right now in real estate, insurance, and risk transparency—from flood zones and insurance misconceptions to Zillow’s integration of climate risk scores and the impact of historic property designations on value and insurability provided by @firststreettech.

We start with a fundamental truth that many homeowners don’t realize: every home in America is in a flood zone—it just depends on the level of risk. We break down how FEMA categorizes zones like X, A, and AE, and why these distinctions matter when it comes to buying flood insurance. Many consumers confuse water damage (like a burst pipe) with actual flooding, which can lead to major coverage gaps. Even though flood insurance can be relatively affordable—around $450 annually—only about 20–25% of people voluntarily opt in unless a lender requires it. This reveals a massive opportunity for education and better conversations between agents, insurers, and homeowners.

That brings us to Zillow’s recent move that’s shaking up the real estate data game. @Zillow long known as a consumer-facing property search engine, has started integrating climate risk scores into its listings through a partnership with First Street Foundation. First Street uses advanced climate modeling and engineering to rate the environmental risk of nearly every property in the U.S.—looking at threats like flooding, wildfires, and heat stress. By embedding these risk scores into home listings, Zillow is trying to bring more transparency to the market—but it also raises tough questions. What happens when a “bad” climate score impacts a home’s value or scares off a buyer? Could a seller push back against the publishing of risk data that might financially harm them?

This isn’t hypothetical—it parallels what’s already happening with insurance companies using drone footage and AI to score roof condition based on age, staining, and even time-lapse imagery. These risk models are already affecting policies and premiums today, so it’s not hard to imagine Zillow (or others) layering in additional risk scoring like roof condition, further influencing perception and pricing in the housing market.

To tie it all together, we reflect on a real-life example from Philadelphia’s Roxborough neighborhood. In an effort to preserve architecture and history, parts of the community were designated as historically protected, which limited what homeowners could do with their properties. While some saw this as a win for culture, others saw it as a financial setback—restricting development, requiring expensive materials for renovations, and ultimately limiting resale potential. And from an insurance standpoint, historic designation is a red flag. Every homeowners application includes the question: “Is this property on a historical registry?” Because the cost to repair or rebuild historic properties is so high—requiring custom materials and meeting stricter guidelines—most carriers simply don’t want to insure them.

Whether you’re a homeowner, investor, or real estate professional, this episode is packed with real-world examples and insights on how data, designations, and evolving risk models are changing how we think about buying, selling, and insuring property in today’s market.

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