US Vehicle Registration & Sales Intelligence

The US Vehicle Registration & Sales Intelligence dataset delivers monthly counts of new and used vehicle registrations for every US county, broken out by make, model, model year, body type, powertrain (ICE, hybrid, plug-in hybrid, battery-electric and fuel-cell) and owner type (personal, fleet, rental, government). Each cell carries its year-over-year change, its share of the county's registrations, the average original MSRP of the registered units, and a vehicles-in-operation count with average vehicle age for the same make, model and powertrain — the car parc behind the sales. Coverage spans all 50 states and DC at county grain with state and national rollups, 2M+ populated cells per month and 10 years of monthly history.

Registrations are built from state motor-vehicle title and registration files limited to non-personal fields, decoded through the NHTSA vPIC VIN decoder into make, model, model year, body type and powertrain, classified by owner type from registration class and lienholder patterns, aggregated to county-month cells with cells below five registrations suppressed, and calibrated to federal AFDC state counts and published vehicles-in-operation benchmarks so non-reporting states are weighted rather than ignored. A rolling car-parc model produces the vehicles-in-operation figures. The feed publishes monthly about 45 days after month-end as titles perfect, with weekly flash estimates available on the enterprise tier.

It is built for the teams that measure the automotive market below the national headline: OEM regional offices and dealer groups tracking share, conquest and defection by powertrain; EV charging operators and utilities sizing deployments on the actual county-level electric and hybrid parc; auto insurers and lenders pricing geography, powertrain and vehicle-age risk; autos-sector investment desks nowcasting brand sales between quarterly delivery reports; and aftermarket distributors planning inventory on vehicles in operation by model and age.