Hidden property data that Insurers and Marketers can’t afford to ignore

What if you could see risk and opportunity through the walls of every UK property?

Doorda’s Building Age Dataset unlocks insights on over 30 million addresses across the UK, revealing one of the most powerful—but underused—data points in property intelligence: when a building was built.

Insurance: Why Building Age Still Gets Missed

Insurers already understand the importance of property-specific variables—but consistent, high-quality building age data across the UK has been notoriously hard to obtain. EPC records are patchy, local data is often inconsistent, and assumptions based on property type or location can be unreliable.

Doorda changes that. Our Building Age Dataset provides nationwide coverage with commercial-grade accuracy, offering verified, derived, and reassessed age values for every property—from pre-1900 terraces to modern developments.

This gives insurers:

• Reliable age-based risk profiling at scale
• Improved pricing models that reflect actual construction risks and safety standards
• Claims prediction by era, identifying risk triggers tied to specific building periods
• Portfolio insight, allowing underwriters to visualise exposure by building age and rebalance accordingly

With Doorda, insurers can finally treat building age as a dependable, scalable variable—no more guesswork or gaps.

Beyond Insurance: Smarter Targeting, Better Timing

Building age also offers value beyond underwriting. Marketers, financial services, and energy providers can use it to understand the likely needs, lifestyles, and investment priorities of households.

• Customer Segmentation: Period properties vs. modern builds often imply different occupant demographics, behaviours, and spending habits.
• Home Improvement Targeting: Older homes may need retrofitting; newer builds often seek smart tech and styling.
• Sustainability Campaigns: Age is a reliable proxy for energy inefficiency—ideal for targeting insulation, solar, or green appliance offers.
• Tailored Lending & Insurance Products: Equity release, specialist mortgages, and niche cover types can be aligned with building age.

What Makes Doorda’s Dataset Stand Out

• Coverage of 30+ million properties across all UK nations
• Clear, standardised age bands from “before 1900” to “2003 onwards”
• Three-tiered data certainty to support different use cases and risk tolerances
• Seamless integration with Doorda’s broader data ecosystem—from EPCs and sales to corporate and geospatial insight

It’s the consistency and quality that make it operationally useful, not just interesting.

From Insight to Advantage

Building age is more than metadata—it’s a strategic lever. When integrated with broader datasets and embedded in decision-making, it enables sharper pricing, smarter targeting, and more efficient resource allocation.

If your business is still relying on patchy records or postcode assumptions, now’s the time to upgrade.

Talk to the Doorda team to learn how Building Age Data can enhance your risk models, marketing segmentation, and strategic planning.