Glossary

9999 pseudo-year for equipment records

9999 pseudo-year for equipment records is sentinel model-year value NHTSA uses in place of a year for non-vehicle equipment such as tires, which have no model year. In Datadory's catalog of 1,744 datasets, NHTSA Vehicle Safety API coverage and NHTSA Vehicle Safety API estimated_size are working examples.

What is 9999 pseudo-year for equipment records?

A sentinel model-year value NHTSA uses in place of a year for non-vehicle equipment such as tires, which have no model year.

Any recall query loop must handle 9999 alongside the real years 1949-2027.

In this catalog it appears concretely: - NHTSA Vehicle Safety API coverage — "Recall model years 1949-2027 plus a 9999 pseudo-year for equipment/tire records". - NHTSA Vehicle Safety API estimated_size — "80 distinct model years offered by the recalls modelYear endpoint (1949-2027 plus 9999)".

NHTSA Vehicle Safety API estimated_size is the second reference point worth knowing: "80 distinct model years offered by the recalls modelYear endpoint (1949-2027 plus 9999)". Reading the two together shows how much variation sits underneath one shared label.

Why does 9999 pseudo-year for equipment records 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: a source can carry the 9999 pseudo-year for equipment records label while differing from what you need on exactly the dimension that matters — Recall model years 1949-2027 plus a 9999 pseudo-year for equipment/tire records. 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 Vehicle Safety API coverage lets you inspect the real artifact before any budget is committed.

How do you evaluate 9999 pseudo-year for equipment records in a data source?

Treat every claim of this attribute as testable:

  1. Open NHTSA Vehicle Safety API coverage and confirm its record — "Recall model years 1949-2027 plus a 9999 pseudo-year for equipment/tire records" — against the files you actually receive. 2. Open NHTSA Vehicle Safety API estimated_size and confirm its record — "80 distinct model years offered by the recalls modelYear endpoint (1949-2027 plus 9999)" — against the files you actually receive. 3. Pin down update cadence in writing.

Adjacent concepts worth reading next: - odi complaint archive - recall campaign

Frequently asked questions

What is an example of 9999 pseudo-year for equipment records?

NHTSA Vehicle Safety API coverage is the clearest example in this catalog. Its record states: "Recall model years 1949-2027 plus a 9999 pseudo-year for equipment/tire records". 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 "9999 pseudo-year for equipment records" 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.

How do I verify a source really provides 9999 pseudo-year for equipment records?

Open NHTSA Vehicle Safety API coverage next to NHTSA Vehicle Safety API estimated_size and compare the promise with the download. Field definitions are verified for 1495 of 1,744 datasets (85.7%), which makes that check fast inside the catalog and manual outside it.

Datasets containing this field

Datasets containing 9999 pseudo-year for equipment records

6 datasets carry 9999 pseudo-year for equipment records 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

Datasets

RockAuto Parts Catalog Data

Automotive Parts & Equipment

TecAlliance TecDoc & Data Management Platform

Article number · OE / reference number · GTIN …+5 more

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