Location and population data for healthcare and care delivery.
Plan services, understand catchments and reach communities with standardized addresses, boundaries and demographics — resolved from any location, Canada-wide.
Care delivery and planning depend on where people are and how communities differ. Patient catchments, facility placement and home-care routing all need clean addresses, boundaries and population data that most systems can't stitch together.
What Neighbourly gives healthcare teams.
The specific, production-grade capabilities behind healthcare on Homicity — not features on a slide, but data and tooling you can ship on.
Catchment definition and analysis
Resolve a facility coordinate or address to the full boundary hierarchy and layer Forward Sortation Area demographics onto the surrounding area to define and profile a service catchment. Planners get a defensible service area rather than a hand-drawn estimate.
Site selection comparison
Compare candidate clinic or facility locations by boundaries, demographics and nearby services from the Business layer to guide where to build or expand. Every candidate is evaluated on identical, nationwide-consistent attributes.
Home-care routing geocoding
Normalize, validate and geocode patient addresses to precise coordinates so home and community care visits route accurately and efficiently. Clean geocoding reduces wasted travel and missed visits.
Population health and equity layering
Combine demographics with Neighbourhood Data and Environmental context to analyze access and health equity by area. This gives population-health teams a repeatable way to identify underserved geographies.
Reference data, not patient records
Neighbourly supplies location and demographic reference data hosted in Canadian data centres, keeping the enrichment layer distinct from any patient system. This keeps the compliance surface simple.
Nationwide demographic consistency
The same demographic and boundary fields are available across Canada, so multi-region health authorities plan on one consistent basis. Cross-region comparison does not require reconciling different data sources.
How Healthcare teams use Neighbourly.
Catchment & population analysis
Define service areas and understand the demographics of the communities around any facility.
Facility & clinic site selection
Compare candidate locations by boundaries, demographics and access to plan where to build or expand.
Home & community care routing
Standardize and geocode addresses for accurate, efficient home-care visit routing.
Population health & equity
Layer demographics and neighbourhood context to understand access and health equity by area.
Why healthcare teams choose Homicity.
Plan services around real communities
Catchments and demographics reflect the actual population around a facility, so service planning matches where people are.
More efficient care delivery
Accurate geocoding tightens home-visit routing, reducing travel time and improving reach.
Evidence for equity work
Consistent demographic and neighbourhood layers give population-health teams a defensible basis for identifying gaps.
A clean compliance boundary
Reference-only data in Canadian data centres keeps enrichment separate from patient records and PIPEDA-aligned.
Data layers for Healthcare
The Neighbourly layers most relevant to this industry — all under one API key, one schema, Canada-wide.
Three ways to put Neighbourly to work for healthcare.
Use the data yourself, have us build the whole thing, or bring in our team for strategy and analysis — whatever fits how you work.
Canadian data residency
Hosted in Canadian data centres, end to end.
PIPEDA-compliant
Privacy-first by default, with provincial compliance built in.
One consistent schema
Every layer shares a spine, so data joins cleanly.
Always current
Live, maintained data — never stale snapshots.
Healthcare — common questions
How can healthcare organizations use location data?
Standardized addresses, boundaries and demographics let providers define catchments, plan facilities, route home care and analyze population health across Canada.
What demographic data supports population health?
Household and demographic profiles by Forward Sortation Area support catchment analysis, service planning and health-equity work.
Can I define catchment areas for a facility?
Yes. Coordinates and addresses resolve to the full boundary hierarchy, so you can define and analyze service areas for any location.
Does Neighbourly help with home and community care routing?
Yes. Addresses are normalized, validated and geocoded to precise coordinates for efficient home-visit routing.
Can I use it to plan where to open a clinic or facility?
Yes. Compare candidate locations by demographics, boundaries and nearby services to guide site selection and expansion.
How is data handled for Canadian privacy standards?
Neighbourly provides location and demographic reference data — not patient records — hosted in Canadian data centres and PIPEDA-compliant by default.
Does Neighbourly ever touch patient-identifiable information?
No. Neighbourly provides location and demographic reference data, not patient records; your systems keep custody of any identifiable information while you enrich against non-personal geographic data.
How fine-grained is demographic data for catchment work?
Demographics are provided by Forward Sortation Area and municipality, which lets you profile the population within a defined catchment rather than relying on a broad regional average.
Can we batch-geocode an entire client roster for routing?
Yes. Addresses can be normalized, validated and geocoded in batch, returning precise coordinates suited to home and community care route planning.
Can Homicity deliver a tailored catchment analysis?
Yes. Beyond direct API use, our data services or a custom build can produce catchment and equity analyses shaped to your service areas and reporting needs.
Bring Neighbourly to your healthcare product.
Tell us what you're building and we'll map the right data layers and plan to your use case.