Glossary

Recall type classification

Recall type classification is the NHTSA category dividing recall campaigns into Vehicle, Tire, Child Seat and Equipment types, which lets tire-specific exposure be isolated: 787 of the 30,249 campaigns in the DOT Data Hub table are typed Tire. Datadory's catalog of 1,744 datasets documents it directly in NHTSA Recalls by Manufacturer - Data.gov / DOT Data Hub.

What is Recall type classification?

The NHTSA category dividing recall campaigns into Vehicle, Tire, Child Seat and Equipment types, which lets tire-specific exposure be isolated: 787 of the 30,249 campaigns in the DOT Data Hub table are typed Tire.

In this catalog it appears concretely: - NHTSA Recalls by Manufacturer - Data.gov / DOT Data Hub — "Category of recall: Vehicle, Tire, Child Seat or Equipment".

Why does Recall type classification matter when choosing a dataset?

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 NHTSA Recalls by Manufacturer - Data.gov / DOT Data Hub lets you inspect the real artifact before any budget is committed.

How do you evaluate Recall type classification in a data source?

Treat every claim of this attribute as testable:

  1. Open NHTSA Recalls by Manufacturer - Data.gov / DOT Data Hub and confirm its record — "Category of recall: Vehicle, Tire, Child Seat or Equipment" — 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: automotive-parts-equipment data, motorcycle-manufacturers data.

Adjacent concepts worth reading next: - NHTSA campaign number - Potentially affected units - Recall advisory flags

Frequently asked questions

What is an example of Recall type classification?

NHTSA Recalls by Manufacturer - Data.gov / DOT Data Hub is the clearest example in this catalog. Its record states: "Category of recall: Vehicle, Tire, Child Seat or Equipment". Across all 1,744 datasets Datadory averages a quality score of 7.81 out of 10, so a named example can be weighed rather than trusted blindly.

Is data described as "Recall type classification" free to use?

Treat access and permission separately. 82.4% of the 1,744 datasets in this catalog are free to access, but 235 are freemium and 61 are paid outright, so confirm both the price and the license on the exact distribution before building on it.

Datasets containing this field

Datasets containing Recall type classification

6 datasets carry recall type classification in the catalog. Open one, count the fields, judge for yourself.

Automotive Parts & Equipment

BEA Personal Consumption Expenditures - Motor Vehicles and Parts

DMOTRC · DNMVRC · DNPVRC …+1 more

Industries

BLS Quarterly Census of Employment and Wages - Auto Dealers (NAICS 4411)

area_fips · own_code · industry_code …+14 more

Industries

NHTSA Vehicle Safety API (Recalls, Complaints, Ratings)

NHTSACampaignNumber · NHTSAActionNumber · Manufacturer …+24 more

Datasets

RockAuto Parts Catalog Data

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