The Modern Home Is Changing. Property Risk Models Need to Keep Up.

By Todd Dziedzic
Head of Data Science

Take a drive through almost any neighborhood today and you’ll notice something: homes are evolving.

A garage becomes an apartment. A backyard gets a detached unit. Solar panels and battery systems appear on roofs that were once empty. EV chargers start showing up in garages.

In just the past decade, residential properties have quietly become more complex. For insurers, that complexity introduces new exposure considerations that traditional property data doesn’t always capture.

The Modern Home Looks Different

Historically, underwriting models focused on relatively stable home attributes:

  • Year built
  • Square footage
  • Construction type
  • Roof age
  • Foundation condition

These are still important. But they no longer tell the full story.

Today’s homes increasingly include new types of living space, alternative energy systems, and structural modifications that weren’t common a decade ago. Examples range from expanded living areas and secondary dwellings to electrified garages, backup power systems, and modern heating and cooling technologies.

Each of these changes can affect exposure, inspection needs, and potential loss severity. Yet many underwriting workflows still rely on property data models designed for homes built decades ago.

New Infrastructure, New Exposure Signals

Take a few examples:

  • Secondary living spaces can introduce additional occupancy and liability considerations.
  • Home energy systems may signal new electrical load patterns and equipment risk.
  • Structural modifications can change the way a property performs during severe weather events.

These aren’t just isolated cases anymore. In many markets, they are becoming common features. The challenge is identifying them consistently and at scale.

Turning Property Evolution Into Usable Risk Signals

This is where deeper property insights start to matter. Traditional property records don’t always capture how homes are evolving, so insurers are increasingly looking for more specialized data that can highlight these conditions before they become underwriting surprises.

Recent updates to the Home Factors property intelligence platform reflect this shift. The latest release introduces new property risk scores designed to capture emerging residential features and infrastructure, including:

  • Additions and structural expansions
  • Accessory dwelling units (ADUs)
  • Battery storage systems
  • EV charging infrastructure
  • Backup generators
  • Heat pump systems

Each Home Factor is delivered as a standardized 0–100 property risk score that reflects the likelihood a specific condition or characteristic exists at a given property. These scores can be used directly within underwriting workflows, pricing models, inspection triage, renewal review, and portfolio analysis.

The Bigger Picture

Residential properties have always changed over time, but today the pace and complexity of those changes seems to be increasing. Homes are evolving as homeowners add living space, adopt new technologies, and modify how properties are used.

For insurers, keeping pace with those changes requires more than traditional property records. It requires better visibility into how homes are evolving. Because the homes insurers are covering today are not the same homes they were underwriting ten years ago.

And the data used to evaluate them shouldn’t be either.

About the Author

Todd Dziedzic brings over 20 years of experience in data science, analytics, and marketing strategy. As Head of Data Science for PGM Solutions, he leads the development of property intelligence models that help insurers better assess risk and improve profitability. Todd’s expertise spans predictive modeling, statistical analysis, and data-driven decisioning across the marketing, insurance, credit, and retail industries.