Dataset

footfall-dwell-catchment-data

Movement intelligence gathered from mobile devices that quantifies customer flow, time spent and trade areas for retailers, property firms and financial institutions operating throughout Europe and North America.

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Dataset card

Huq Industries' footfall-dwell-catchment-data is a commercial mobility dataset that links visitor counts, dwell times and catchment geography for retail and real-estate analysis. It is licensed commercially, with download volume and social engagement metrics not reported on the directory.

What this dataset contains

The dataset tracks footfall volumes, dwell duration and catchment area characteristics, framed around retail and real-estate applications. Tagging covers footfall, dwell-time, catchment, real-estate and retail, indicating a focus on location-based consumer movement rather than transaction-level detail. Publisher documentation, sample rows and row counts are not provided in the listing, so the precise coverage window and geographic scope cannot be verified from the directory entry.

Structure and fields

No column schema is published in the listing; the entry only marks columns as (unknown) and no masked sample rows are available. Analysts evaluating the product would need to request a data dictionary directly from Huq Industries to confirm fields such as timestamp, location identifier, visitor counts, dwell minutes and catchment demographics. Splits and row counts are also not stated, which limits independent assessment of size and refresh cadence.

How analysts use it

Fundamental and quantitative investors typically apply footfall and dwell series to benchmark retail tenant performance, anticipate same-store sales revisions and stress-test real-estate valuations for shopping centres and high streets. Given the absence of verified schema and sample data in the directory, concrete back-testing against reported KPIs cannot be confirmed here. Interested buyers should obtain a data sample and field definitions from Huq Industries before integrating the feed into an investment workflow.

Documentation & references 2