/data

Open vehicle data

Everything on this site is built from public records. This section is where you can see the records themselves: what we hold, where each row came from, how far back it goes, when it was last refreshed, and what we do not have. Download it, check our work, or build something of your own.

Pages under /data show numbers and sources only. What the numbers might mean lives in Research, and every chart there links back here.

Datasets

NHTSA complaints for each year, make and model, grouped by failure theme. Every quoted complaint is checked byte-for-byte against the federal record. The only dataset here that does not exist anywhere else.

rows16,354 clusters
vehicles2,740 year/make/model · 47 makes
years2005–2027
sourceNHTSA ODI complaints
data through2026-09-20
licenseCC BY 4.0 (derived) · NHTSA records public domain
  • NHTSA complaints (summary counts)

    Counts by year/make/model and component. Export in Phase 2.

    on site · export planned
  • NHTSA recalls

    Campaign-level records by vehicle. Export in Phase 2.

    on site · export planned
  • NHTSA investigations

    Open and closed defect investigations. Export in Phase 2.

    on site · export planned
  • FARS occupant deaths

    Per-vehicle counts, 2010–2024, with the Death Report's methodology. Export in Phase 2.

    on site · export planned
  • Maintenance intervals

    Manufacturer service intervals in our normalized fields. Export in Phase 2.

    on site · export planned

Coverage by model year

What we have for each model year, as a share of the vehicles in our catalog. Known Issues clusters are only attempted where a vehicle has at least 30 complaints on file; the last column is clustered vehicles as a share of those. Gaps are gaps. The 1990s will fill in as the backfill runs. Same numbers as our internal ops dashboard, as of 2026-09-20.

yearvehiclesschedulerecalls shownKI eligibleKI clusteredKI %
2027353100%1111100%
2026366100%1563131100%
2025385100%229105105100%
2024389100%244151151100%
2023390100%263153153100%
2022388100%259161161100%
2021379100%262151151100%
2020390100%266156156100%
2019377100%279169169100%
2018379100%278163163100%
2017376100%258184184100%
2016362100%250176176100%
2015356100%270183183100%
2014349100%248180180100%
2013335100%237176176100%
2012330100%235176176100%
2011317100%229179179100%
2010316100%239166166100%
2009327100%51562214%
2008329100%8181179%
2007315100%818595%
2006302100%51731710%
2005294100%3172148%
2004297100%917000%
2003284100%1016500%
2002285100%1317100%
2001274100%1515500%
2000261100%1816000%
1999250100%1514500%
1998236100%1313300%
1997248100%1913000%
1996255100%1612900%
1995270100%1713500%
1994260100%1811900%
1993265100%1611300%
1992262100%2010600%
1991268100%2310100%
1990257100%228600%

How to read this section

  • Counts are counts. There is no denominator for how many of each vehicle are on the road, so nothing here is a rate, a rank or a grade.
  • Every dataset page states its source, its schema, and its known gaps. See methodology.
  • Derived data is CC BY 4.0. Link back to the page you used.

Cite this

Derived data is CC BY 4.0. Link back to the page you used. Text and BibTeX below.

Wrench.Pro (2026). Open vehicle data [dataset]. https://www.wrench.pro/data
@misc{wrenchpro_data_2026,
  author = {Wrench.Pro},
  title = {Wrench.Pro open vehicle data},
  year = {2026},
  howpublished = {\url{https://www.wrench.pro/data}},
  note = {Derived from NHTSA public records. CC BY 4.0.}
}

hub · known-issues · methodology · license · research (interpretation)