Potentially affected units

The count of units a recall campaign may cover, reported once per campaign in the DOT Data Hub table (43,913 for Honda's 2026 handlebar-lock campaign) with no VIN-level or per-unit detail.

In this catalog it appears concretely: - NHTSA Recalls by Manufacturer - Data.gov / DOT Data Hub — "Number of units potentially affected by the campaign".

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 Potentially affected units label while differing from what you need on exactly the dimension that matters — One row per recall campaign; unit-level counts per campaign; no VIN-level or per-unit detail. 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 NHTSA Recalls by Manufacturer - Data.gov / DOT Data Hub lets you inspect the real artifact before any budget is committed.

Treat every claim of this attribute as testable:

1. Open NHTSA Recalls by Manufacturer - Data.gov / DOT Data Hub and confirm its record — "Number of units potentially affected by the campaign" — against the files you actually receive.
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: motorcycle-manufacturers data, tires-rubber data.

Adjacent concepts worth reading next: - NHTSA campaign number - Recall completion rate - Recall type classification