Global Vehicle Models & Fuel Economy Dataset – 47,524 Records

This dataset provides a large-scale structured database of 47,524 vehicle models, covering a wide range of manufacturers, model variants, engine types, and fuel technologies. It includes detailed fuel consumption, emissions, performance, and technical specifications, making it suitable for analytics, research, and AI/ML workflows.

The collection spans multiple years and vehicle categories, including gasoline, hybrid, plug-in hybrid (PHEV), and electric vehicles (EVs). It is built in a clean, analysis-ready format for immediate use in spreadsheets, BI tools, or data pipelines.

What’s Included

• Records: 47,524 rows
• Format: CSV / Excel-compatible
• Coverage: Multi-year vehicle models across multiple fuel types
• Structure: Clean, structured, analysis-ready table

Key Fields

The dataset contains a rich set of attributes, including (but not limited to):

• Vehicle identity: Make, model, base model, year, vehicle size class
• Powertrain & specs: cylinders, engine displacement, drivetrain, transmission, engine descriptors
• Fuel & cost: fuel type(s), annual fuel consumption, annual fuel cost
• Fuel economy: city/highway/combined MPG (rounded and unrounded), gasoline/electricity consumption
• Emissions: CO₂ metrics (tailpipe and fuel-based), GHG scores
• EV/PHEV metrics: electric range, charging time (120V/240V), utility factors, blended PHEV indicators
• Dimensions (where available): passenger volume, luggage volume

Typical Use Cases

• Automotive market analysis and benchmarking
• Fuel efficiency and emissions modeling
• EV and hybrid vehicle research
• AI/ML model training and feature engineering
• Fleet optimization and sustainability studies
• Comparative analysis across manufacturers and years

Delivery

• Delivery type: Downloadable after purchase
• File format: CSV / Excel-compatible
• Ready-to-use: Structured fields suitable for filtering, analysis, and modeling

Important Notes

This dataset represents a large and comprehensive vehicle model database, but should not be interpreted as a complete list of every vehicle ever produced. Data is structured from publicly available automotive and regulatory sources and optimized for analytical use.