store types

Store types are the classification of retail businesses by what they sell.

ONS breaks the Great Britain Retail Sales Bulletin down by roughly 34 store types and by large versus small businesses, with non-specialised (broadline) stores one of the categories.

In this catalog it appears concretely: - ONS Retail Sales Bulletin (granularity) — "broken down by roughly 34 store types and by large versus small businesses".

A table is only as good as the column you actually need. If this field is absent, sparsely populated or defined inconsistently across rows, no amount of surrounding richness rescues the analysis, so it deserves its own line in your evaluation checklist.

The failure mode is concrete: a source can carry the store types label while differing from what you need on exactly the dimension that matters — broken down by roughly 34 store types and by large versus small businesses. Comparing two sources on that line usually settles the choice faster than any feature matrix.

You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and ONS Retail Sales Bulletin lets you inspect the real artifact before any budget is committed.

Treat every claim of this attribute as testable:

1. Read ONS Retail Sales Bulletin's record on granularity — "broken down by roughly 34 store types and by large versus small businesses" — then confirm the delivered artifact matches before you license anything.
2. Pin down update cadence in writing. Across this catalog, 22.6% of 1,744 datasets refresh daily and 64 still arrive only through a manual request form, so ask exactly how fresh each release is.
3. Check whether definitions are verified at all. Field definitions are verified for 1495 of 1,744 datasets (85.7%), and any source you license should meet that bar.
4. Price the delivery route before the license. In this catalog bulk download is the most common access method (725 datasets) ahead of official APIs (574), and 379 sources still require scraping — a maintenance cost that lands on you, not the vendor.

See the term applied to real records: broadline-retail data.

Adjacent concepts worth reading next: - internet sales - non-specialised stores - volume index