ONS CDID

The CDID is the ONS dataset identifier code carried in the second row of drsi.csv, one per time series, used to fetch individual series as JSON from ons.gov.uk/timeseries/<CDID>/drsi.

Homefurnishing-adjacent examples in the slice are EARA for textile-clothing-footwear value SA, MZXV for internet TCF average weekly sales and N3DP for the implied price deflator.

In this catalog it appears concretely: - CDID field in UK ONS Retail Sales Index - Retail Industry.

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: the label appears in a listing, the delivered files tell a different story, and the gap surfaces mid-project when fixing it is most expensive.

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 CDID field in UK ONS Retail Sales Index - Retail Industry lets you inspect the real artifact before any budget is committed.

Treat every claim of this attribute as testable:

1. Open CDID field in UK ONS Retail Sales Index - Retail Industry and compare its listing against the delivered artifact before paying for a commercial equivalent.
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: apparel-retail data, homefurnishing-retail data.

Adjacent concepts worth reading next: - Implied Price Deflator - internet sales split - Retail Sales Index