The fastest way to read a neighbourhood

The Property dataset shows you how neighborhoods are physically put together—what kinds of buildings are there, how dense they are, and how housing is changing—so you can make better calls on sites, formats, and investment.

Trusted by

Trusted by

The most accurate view on real estate

Land use & property types

The mix of residential, retail, office, industrial, and mixed‑use around your locations.

Housing mix & tenure

Area‑level view of owners vs renters, and how “dense” or spread out housing is.

Building form & intensity

Whether an area is mostly single‑family homes, low‑rise apartments, high‑rises, or commercial strips.

Stress & availability signals

Simple indicators of housing stress, vacancies, and crowding that help you understand stability and pressure.

Change over time

Where development, infill, and redevelopment are happening, and where things are relatively static.

Everything is delivered in a simple, comparable way so you can line up properties, neighborhoods, and markets side by side.

Why teams trust our property data

Choose sites and formats with more confidence

Make sure your concept fits the surrounding built environment and housing mix.

Understand performance in context

When two locations behave differently, see if property and neighborhood structure is part of the story.

Spot areas that are changing

See where new development or stress is building before it fully shows up in your numbers.

Align strategy across teams

Give real estate, operations, and finance a shared, objective view of what’s on the ground.

Drive better outcomes with the right view on property

Retail & QSR site selection

Pick locations and formats that match the surrounding housing and land use profile.

Real estate & asset management

Assess which areas are likely to strengthen, stabilize, or struggle based on property and housing indicators.

Network & footprint planning

Balance growth across urban, suburban, and emerging corridors—not just where you already have sites.

Demand & forecasting

Use property context to refine expectations for visit patterns, basket size, and visit frequency.

Logistics & last‑mile

Understand how residential vs industrial land use around depots might affect volume and service expectations.

Leading data teams leverage the right data

Real estate & expansion teams

Choosing where to open, upgrade, or close locations.

 Evaluating neighborhood trajectory and asset positioning.

 Stress‑testing growth plans and underwriting against local physical reality.

Adding a clean, consistent view of the built environment to models and dashboards.

How Property works with other datasets

Property + Places

Property + People

Property + Economic

Property + Mobility

Property + Business

Choose locations or markets

Tell us which stores, branches, assets, or regions you care about.

Review a sample

Explore Property data for a few key areas and see how it matches what you know on the ground.

Roll out across your footprint

Make Property part of how you evaluate sites, review performance, and plan growth.