Municipal, provincial, and federal agencies deal with fragmented geographic data every day — different boundary definitions, inconsistent address formats, no single source of truth for neighbourhood-level context. Neighbourly provides a clean, authoritative, Canadian-hosted API that can serve as a shared location layer across programs, portals, and internal systems.
Public-sector teams need consistent, authoritative location data across departments — but boundaries, demographics and permits live in incompatible silos, and every new tool re-integrates them from scratch instead of drawing from a shared fabric.
Geographic data fragmentation is one of the most persistent operational challenges in the public sector. A planning department works with one boundary dataset. A service delivery program uses another. A community health initiative references a third. None of them agree on neighbourhood names. None of them share an address identifier. And every inter-departmental data sharing initiative runs into the same reconciliation problem.
Neighbourly is designed to function as a shared location infrastructure layer — a single, consistent API that resolves any Canadian civic address to authoritative boundary identifiers, neighbourhood context, and demographic data, regardless of which system or program is querying it. One source of truth for address, geography, and place — queryable by any system that can make an HTTP request.
The platform is Canadian-hosted, uses Statistics Canada and municipal open data sources, and returns data in standard GeoJSON and JSON formats with no proprietary lock-in. It's designed to be the location layer that works across procurement boundaries and departmental silos.
The specific, production-grade capabilities behind government on Neighbourly — not features on a slide, but data and tooling you can ship on.
Neighbourly is a headless API — a data fabric that unifies boundaries, demographics, permits, addresses and environmental layers behind one key and one schema, with no bundled interface. Departments and their vendors build citizen portals, planning tools and reporting systems directly on the same endpoints, instead of re-integrating fragmented sources for every new application.
Access a consistent Country to Province to Municipality to Neighbourhood hierarchy with MultiPolygon boundaries, bounding boxes and centroids at every level. Departments can align service areas to the same geography rather than reconciling incompatible internal shapefiles.
Pull census-derived demographics — age, income, tenure, education and employment — by Forward Sortation Area and municipality for planning and public reporting. The same fields are available across the country for equitable cross-jurisdiction comparison.
Query normalized Building Permits data across supported cities to analyze growth and development trends without cleaning each municipality's raw feed. Normalization is what makes multi-city comparison possible.
The Environmental layer delivers crown land, water, wildlife management units, trails and campgrounds as GeoJSON for stewardship, parks and planning work. Geometry integrates directly into GIS workflows.
Resolve any coordinate or address to the boundaries and hierarchy it falls within, so service records can be tagged with consistent geography at intake. This underpins accurate service-area reporting.
Because every layer shares one schema and key, planning, permitting and reporting teams draw from the same reference data. This removes the silos that cause departments to publish conflicting figures.
One API with no bundled UI — build citizen portals, planning tools and reporting systems directly on the same endpoints.
A consistent Country → Province → Municipality → Neighbourhood hierarchy for every service area.
Census-derived profiles by FSA and municipality for planning and reporting.
Normalized building-permit data for growth and planning insight.
A headless API with no bundled UI lets every department and vendor build applications on the same data fabric, rather than re-integrating siloed sources for each new tool — all backed by 99.9% uptime.
Departments align to a single boundary hierarchy and demographic base, ending the reconciliation of conflicting internal datasets.
Census-derived, standardized demographics give public reporting a defensible and comparable foundation across jurisdictions.
Data hosted in Canadian data centres and PIPEDA compliance meet the public sector's residency and privacy expectations directly.
Boundaries and environmental features arrive as standard geometry, so they drop into existing GIS and planning tools without conversion.
Use the data yourself, have us build the whole thing, or bring in our team for strategy and analysis — whatever fits how you work.
Wire standardized government data straight into your product or workflow — REST and GraphQL, one key, Canada-wide.
Explore the API →No engineering team? We design and build the government tool, dashboard or platform on our data — you bring the idea, we ship it.
Start a build →Strategy, enrichment, analytics and measurement from our team, so your government data turns into decisions and results.
See our services →Hosted in Canadian data centres, end to end.
Privacy-first by default, with provincial compliance built in.
Every layer shares a spine, so data joins cleanly.
Live, maintained data — never stale snapshots.
Common questions about this data and how to use it.
As a shared location layer for planning, service delivery, community reporting, and infrastructure analysis.
Yes — Canadian data and Canadian hosting, suitable for public-sector data-residency requirements. All data is hosted in Canadian data centres and PIPEDA-compliant by default, with provincial privacy compliance built into the architecture.
Through a single API queryable by coordinate, address or boundary, with consistent JSON responses, so it can plug into existing GIS, reporting, and portal systems.
Yes. The boundary and neighbourhood layers suit resident portals and public dashboards.
A full geopolitical hierarchy with MultiPolygon boundaries, bounding boxes and centroids at every level, from country down to neighbourhood.
Census-derived demographics by Forward Sortation Area and municipality — age, income, tenure, education and employment — for planning and reporting.
Yes. Normalized building-permit data across 20 cities supports growth, planning and development-activity analysis.
Yes — a Canada-specific layer covering crown land, water, wildlife management units, trails and campgrounds, delivered as GeoJSON, with flood zone and wildfire risk overlays also available.
Yes. Neighbourly is a headless API — a data fabric with no bundled interface — so your teams and vendors can build citizen-facing portals, planning tools, GIS integrations and reporting systems directly on the same endpoints, and present the results however each application requires.
Yes. The API is backed by 99.9% uptime, Canadian data residency and PIPEDA compliance, so it can sit under mission-critical government applications and reporting.
Boundaries are provided as MultiPolygon with bounding boxes and centroids, and the environmental layer is delivered as GeoJSON, so both integrate directly into standard GIS and mapping tooling.
Yes. You can call the API directly, or arrange for our data services to deliver scheduled exports of the boundaries, demographics and permit data your departments need.
Demographics are census-derived and permits are normalized from source municipalities on an ongoing basis; we can confirm coverage and refresh cadence for your jurisdictions during onboarding.
Yes. Data is hosted in Canadian data centres with PIPEDA compliance by default and provincial privacy compliance built into the architecture, and Neighbourly supplies reference data rather than personal records.
We support pilots and can provide documentation for procurement review. Contact us to start.
Tell us about your department's data challenges and the programs you're trying to connect. We'll show you how Neighbourly fits into the public sector stack.