Trade Area Quarter
Trade Area on Places
Where a location's visitors come from, decomposed into the home and work areas that supply them and each area's share of visits.
What does Trade Areas tell me?
Trade Areas show where a location's visitors originate. For a chosen location, it lists the areas that supply its visitors, split by whether that area is the visitors' home or their work location, with each area's share of total visits.
It answers "where do the people who come here live and work," which is the basis for catchment, site-selection, and market-reach analysis.
What questions does it answer?
- How far does this location draw its visitors from?
- Where do most of its visitors live, and where do they work?
- Does it rely on a local catchment or pull from a wide area?
- Which surrounding areas contribute the most footfall?
- How does the catchment shift around holidays or events?
Reading this cadence
Each row is one origin area for the period this page covers. Longer cadences give a more stable catchment picture; shorter cadences show how the catchment moves over time.
How it's produced
Visitors to a location are attributed to their inferred home and work areas, then aggregated so each origin area carries its share of the location's total visits.
How to read it
- Home vs work. A row's type tells you whether the origin area is where those visitors live or where they work. Read the two separately; a commuter hub and a residential suburb tell different stories.
- Shares are per location. The fraction is the origin area's share of that location's visits, so the shares across a location's origin areas describe how its catchment is distributed.
- Origins, not journeys. Trade Areas describe where visitors come from, not the sequence of places they visit. For movement between places, use Visitor Journey. Small origin areas may be suppressed for privacy.
Related metrics
- Foot Traffic, the total visits these origins add up to.
- Visitor Journey, the onward and prior movements of those visitors.
- Visitor Demographics, who the visitors are.
Country- and dataset-specific behaviour (coverage, geography units, exclusions, release timing) is documented on each dataset in its country catalog.
Related techniques
The techniques applied to the signal behind this dataset.
Home & work inference
Estimating the likely home and work areas of visitor groups, always at area level and never an address, to enable resident / worker / visitor breakdowns, trade areas, and visitor-only scoping for Visit Length.
Extrapolation
Scaling the observed sample of devices up to population-level visit estimates, so counts reflect real-world volume rather than sample size.
Privacy approach
Pine59 products are built for statistical use only, and no output can be linked to an individual person.