Property and casualty insurers need more than a postal code. Neighbourly connects any Canadian address to verified geographic, demographic, energy, and permit context — the data that informs risk scoring, pricing models, and climate exposure without manual lookups or fragmented sources.
Canadian insurers pricing residential property risk are navigating a growing gap between the data they have and the data they need. Postal code–level risk bands are too coarse. Manual property inspections don't scale. And the climate exposure questions — energy efficiency, building vintage, proximity to risk zones — are only becoming more material as severe weather events increase across the country.
Neighbourly fills that gap with an API that connects any Canadian civic address to the data dimensions that matter for underwriting. Energy efficiency scores and utility benchmarks for green home product eligibility. Building permit history for condition and renovation signals. Neighbourhood boundaries for accurate risk zone assignment. Demographics for portfolio segmentation. And points of interest proximity — fire stations, water bodies, industrial sites — for location-specific hazard context.
All of it is queryable by address at ingestion time, batchable for portfolio analysis, and updated from municipal and provincial source data on a regular cycle.
Tell us about your risk models, your data gaps, and the products you're building. We'll show you exactly what Neighbourly adds.
Common questions about this data and how to use it.
To connect any Canadian address to verified energy, permit, boundary, and demographic context for risk scoring, pricing, and climate-exposure assessment.
Yes. Address-resolvable data integrates directly into underwriting and pricing pipelines.
Environmental and boundary layers — including water and natural-geography context — support exposure assessment.
Through a single REST API with consistent fields — no GIS team required.
Address and boundary layers cover all of Canada; permit and energy layers roll out by region.