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Brand Race

How 14 automakers' new vehicles changed from 1980 to 2025: speed, power, and fuel economy.

The Race

Every year the EPA publishes the average horsepower, 0–60 time, and real-world fuel economy of the new vehicles each automaker sells in the U.S. Put side by side, those numbers turn into a 45-year race.

The typical new vehicle got much quicker. Its 0–60 time fell from in 1980 to in 2025, horsepower grew from to , and fuel economy still rose, from to , even as the average vehicle got heavier. In 1980 the quickest lineup belonged to ; by 2025 even the slowest, , beat that.

The charts below show which brands led, which fell behind, and when they traded places. How the data was prepared and what it can't tell us are covered further down.

The Data

Dataset
EPA Automotive Trends Report data, Detailed Data, A-1 View by Manufacturer1
Publisher
U.S. Environmental Protection Agency
Accessed
October 3, 2026
Coverage
Model years 1975 to 2025 (2025 preliminary); 14 automakers, which together made of U.S. new-vehicle production
One row equals
One automaker × one model year × one vehicle type, averaged across every vehicle it built for sale in the U.S., weighted by how many of each it built
Used here
Six snapshot years (1980, 1990, 2000, 2010, 2020, 2025) and three views: all vehicles, cars, and trucks
Size
rows, 57 columns, 2 MB CSV

What the Data Shows

Vehicles

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The standings, decade by decade

Each line is one automaker's rank at each snapshot; #1 is at the top.

Hover a point or pick a brand above to follow it. A hollow marker shows a brand's first snapshot when it starts after 1980. A dotted line means the brand had nothing in that view at the snapshot in between.

More power, quicker launches

Each arrow runs from a brand's first snapshot (hollow) to 2025 (filled). Up means quicker, right means more horsepower.

The dashed gray arrow is the industry average. Late entrants' arrows start at their first snapshot, labeled with its year.

The whole field at a glance

Every brand in every snapshot. Darker squares are better: quicker, more powerful, or more efficient. Brands are sorted by their 2025 result.

2025 values are preliminary (EPA). Values are averages of each automaker's new vehicles, weighted by production. EPA estimates 0–60 times from vehicle specifications.

How the Data Was Prepared

The EPA export is small enough to work with directly. A Python script reads the untouched file, keeps what the charts need, and ranks the brands. Each step and its effect on the row count:

Why rows were dropped in the last step. EPA keeps a row for every automaker and year even before a brand sold anything in the U.S., or when it sold no vehicles of a type. Those rows are empty, so they were skipped rather than counted as zero. That is why Hyundai first appears in 1990, Kia in 2000, and Tesla in 2020, and why some brands have no trucks in early snapshots.

How the numbers were checked

All checks run every time the numbers are rebuilt, and the build fails if any don't pass. The script and summary data are on GitHub, along with the steps to download the same file from EPA and confirm it matches.

What the Data Can't Tell Us

Glossary

Model year
The year an automaker assigns to a vehicle, which usually goes on sale in the fall of the year before.
Production-weighted
An average where each model counts in proportion to how many were built. A model built 300,000 times counts 100 times as much as one built 3,000 times.
Real-world MPG
EPA's estimate of fuel economy in everyday driving, lower than the older lab-test figures that regulations use.
0–60 time
Seconds to accelerate from a stop to 60 mph. Lower is quicker.
Car vs. truck
EPA's regulatory classes. Trucks include pickups, vans, and most SUVs and crossovers.

Sources

  1. U.S. Environmental Protection Agency. Explore the Automotive Trends Data, Detailed Data, A-1 View by Manufacturer (CSV export). Accessed October 3, 2026.
  2. U.S. Environmental Protection Agency. About the Automotive Trends Data.
  3. U.S. Environmental Protection Agency. The EPA Automotive Trends Report.

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