Location and audience data for media, publishing and news.
Enrich local content, target audiences and ground property and market journalism with boundaries, demographics, real estate and business data — all through one Canadian API.
Media is increasingly local and data-driven. Geo-targeting content and advertising, and reporting credibly on housing and local markets, means reconciling boundaries, demographics and property data that most newsrooms and platforms can't easily assemble.
What Neighbourly gives media teams.
The specific, production-grade capabilities behind media on Homicity — not features on a slide, but data and tooling you can ship on.
Story-level location enrichment
Attach Neighbourhood Data, boundaries and Forward Sortation Area demographics to any story or page by resolving a location from an address or coordinate. Local coverage gains structured context in one call rather than manual research.
Property and housing journalism data
Ground housing and market reporting with MLS/CREA-format Real Estate listings, boundaries and normalized Building Permits data. Reporters work from structured, consistent data rather than scattered listing screenshots.
Audience demographic profiling
Profile an area's audience with demographics by Forward Sortation Area to shape editorial focus and describe inventory to advertisers. The same fields everywhere let you compare audiences across markets.
Programmatic local page network
Use the location-by-slug endpoint with boundaries, Neighbourhood Data and demographics to publish SEO-ready area pages at scale. A publisher can cover every neighbourhood in a region without hand-authoring each page.
Geo-targeted advertising context
Define and describe local audiences with boundaries and demographics for geo-targeted and contextual advertising. Sales teams can characterize an area's audience with real figures rather than assertions.
Business and POI context for local content
Surface local establishments by category from the Business layer to enrich neighbourhood coverage and directory content. Local content stays populated without a separate listings source.
How Media teams use Neighbourly.
Local & geo-targeted content
Attach neighbourhood, boundary and demographic context to stories and pages for any location.
Property & market journalism
Back housing and market coverage with real estate listings, boundaries and permit data.
Audience & market insight
Understand the demographics of an area to shape coverage and sell local advertising.
Programmatic location pages
Build SEO-ready area and neighbourhood pages from structured boundary and demographic data.
Why media teams choose Homicity.
Credible, data-backed journalism
Structured listings, boundaries and permits give housing and market coverage a foundation editors can defend.
Local coverage at scale
Programmatic area pages let a newsroom or platform reach every neighbourhood without authoring each one by hand.
Sharper advertising narrative
Demographic profiles let sales teams describe local audiences with real figures, strengthening geo-targeted inventory.
Single Canadian data source
One key covers the country with Canadian residency, so a national publisher relies on one consistent supply.
Data layers for Media
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 media.
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.
Media & Publishing — common questions
How can media and publishers use location data?
Boundaries, demographics, real estate and business data let media geo-target content, build local pages and ground property and market reporting across Canada.
Can I build programmatic local or neighbourhood pages?
Yes. Boundaries, curated neighbourhood content and demographics support SEO-ready, slug-based area pages at scale.
Does Neighbourly support property and housing journalism?
Yes. MLS/CREA-format listings, boundaries, permits and market context provide a credible, structured basis for housing and market coverage.
What audience and demographic data is available?
Household and demographic profiles by Forward Sortation Area help you understand an area's audience for editorial and advertising.
Can I geo-target advertising with this data?
Yes. Boundaries and demographics let you define and describe local audiences for geo-targeted and contextual advertising.
Is the data Canada-wide and privacy-compliant?
Yes — nationwide coverage, hosted in Canadian data centres and PIPEDA-compliant by default.
Can we attribute the underlying data in published stories?
Yes. The data is structured and consistent, making it straightforward to cite location, demographic and permit context in reporting; sourcing and attribution details can be confirmed in your agreement.
How do we scale to thousands of local pages?
The location-by-slug endpoint combined with boundaries, neighbourhood content and demographics lets you generate slug-based area pages programmatically across every market you cover.
Is the demographic data suitable for describing ad audiences?
Yes. Forward Sortation Area demographics let you characterize the audience of a local area for geo-targeted and contextual advertising, without touching any personal data.
Can Homicity produce ready-made local datasets?
Yes. Beyond building on the API, our data services can deliver curated local datasets, and a custom build can power a bespoke local-content or advertising product.
Bring Neighbourly to your media product.
Tell us what you're building and we'll map the right data layers and plan to your use case.