data

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2000+ geospatial indicators and sub-indicators
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Across various domains and sources
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Connected across space and time
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Unlocking billions of potential insight combinations

Featured data assets

Canada-wide accessibility and travel- time engine

Travel time matrices by car, public transit, bicycle and on foot, computed across the entire country. Answer accessibility questions without having to build your own routing engine.

Canadian zoning data

Residential municipal zoning bylaws harmonized under a common terminology. Rather than parsing hundreds of municipal bylaws each written in their own terms, ask a single question at the national scale (permitted residential capacity, allowable heights, mixed uses, etc.).

Harmonized Canadian censuses (1996 to present)

Every census since 1996 integrated into a single database, with automatic interpolation between the geographies that change from one cycle to the next. Browse the latest data or compare trends over nearly 30 years without having to manually reconstruct census tract boundaries, integration work that would normally take several hours per variable.

Custom Statistics Canada acquisitions, shared across all our users

We regularly commission customdatasets from Statistics Canada (e.g. the annual T1FF file at the census tractlevel). As soon as an order is delivered, it becomes available to users acrossall our platforms.

Harmonized CMHC housing dynamics

Canada Mortgage and Housing Corporation time series integrated Canada-wide and harmonized through time. Compare different areas within your municipality and track residential construction, vacancy rates and average rents across several decades.

Derived spatial indices (e.g. Active Living Potential)

Indicators produced by Curbcut's research team and partner teams, integrated directly into the Curbcut platforms.

Our Data Ethics

At Curbcut, data is at the core of everything we do — but we also recognize its limitations. We acknowledge that data can be incomplete, fragmented, or shaped by the way it is collected. For example, data sources like the Canadian census provide snapshots rather than continuous information, which can lead to the over- or underrepresentation of certain groups.

That's why we take a critical approach to data — questioning methodologies, identifying gaps, and ensuring that our analyses don't reinforce inequalities or omissions. Our goal is to provide transparent, context-aware information that empowers decision-making.