For property and casualty carriers, real estate data for insurers in Canada is the difference between pricing risk and guessing at it. Underwriting a home means knowing exactly where it is, what it is built of, how it has changed and what natural hazards surround it. Yet much of that information is scattered, inconsistently addressed or simply missing at the point of quote. Insurers who close those gaps write more accurate policies, avoid adverse selection and understand the true shape of their book.
The data challenge in insurance underwriting
Insurance runs on precision, but the inputs rarely arrive that way. The same address can appear a dozen ways across CRM, policy admin and third-party enrichment, so a single property fragments into duplicates and blind spots. Environmental exposure such as flood, wildfire and coastal risk is hard to attach reliably to a specific structure. And a property that has been renovated, extended or rebuilt no longer matches the record on file. Each mismatch quietly distorts pricing and accumulates as unmeasured portfolio risk.
Real estate data for insurers, powered by Homicity
Homicity gives carriers a single, standardized view of Canadian property through Neighbourly.io. Underwriting systems resolve an address to a canonical property record, enrich it with structural attributes, and layer on the environmental and permit signals that drive loss. Because Homicity is the intelligence layer for real estate, the same data that powers valuation and lending also grounds insurance decisions, so quotes rest on the same authoritative foundation rather than a patchwork of vendors.
Environmental and climate-risk data that drives pricing
Neighbourly.io environmental data is where underwriting gets sharper. Attaching flood, wildfire, coastal and other climate-risk signals to a precise, standardized address lets insurers price exposure at the property rather than the postal-code level. That granularity supports fairer premiums, cleaner reinsurance conversations and portfolio views that reveal true geographic concentration. When the whole book shares one hazard framework, aggregation analysis finally reflects reality.
Building-permit signals for property change
A property is a moving target, and building-permit data is the earliest signal that it has changed. Neighbourly.io permit signals flag additions, renovations and rebuilds so underwriters catch material changes to replacement cost and construction type before they become claims surprises. Feeding permit activity into renewal reviews keeps the record current, reduces underinsurance, and turns a static policy file into something that tracks the real world.
Concrete outcomes for carriers
Carriers that build on this foundation quote faster with fewer manual referrals, price environmental exposure with real granularity, and see portfolio concentration clearly enough to act on it. Cleaner addresses cut duplicate records and reduce leakage, while permit-driven updates shrink underinsurance. The common thread is one standardized property view feeding every stage from quote to renewal.
Sharpen your underwriting
Better insurance decisions start with better property data. Explore the Insurance solutions built on Homicity and see how Neighbourly.io environmental data can move your underwriting from postal-code approximation to property-level precision.
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This analysis is built on Neighbourly.io — the real estate data API for Canada. Standardized addresses, boundaries, demographics, permits and market signals through a single interface.
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