Key information about US Number of Registered Vehicles

• US Number of Registered Vehicles was reported at 284,614,269 Unit in Dec 2023.
• This records an increase from the previous number of 283,400,986 Unit for Dec 2022.
• US Number of Registered Vehicles data is updated yearly, averaging 93,949,852 Unit from Dec 1910 to 2023, with 114 observations.
• The data reached an all-time high of 284,614,269 Unit in 2023 and a record low of 468,500 Unit in 1910.
• US Number of Registered Vehicles data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: No of Registered Vehicles: Annual.

Federal Highway Administration provides No of Registered Vehicles. No of Registered Vehicles includes No of Registered Motorcycles. No of Registered Vehicles prior to 2011 excludes No of Registered Motorcycles.

This dataset provides comprehensive information about used cars available for sale in the United States. It includes detailed data on various aspects of each vehicle, making it a valuable resource for car buyers, sellers, and data enthusiasts. The dataset contains the following key attributes:

• Brand: The brand or manufacturer of the car.
• Model: The specific model of the car.
• Mileage: The number of miles the car has been driven.
• Year: The manufacturing year of the car.
• Status: Indicates whether the car is new, used, or certified pre-owned.
• Dealer: Information about the dealer or seller offering the car.
• Price: The listed price of the car in USD.

This dataset is ideal for data analysis, machine learning projects, and market research related to the used car industry in the United States. Whether you are interested in predicting car prices, understanding market trends, or simply searching for your next vehicle, this dataset provides a wealth of information to explore.

Data Source: More info on my GitHub repository

Data Format: CSV

Over the course of the 20th century, the number of operational motor vehicles in the United States grew significantly, from just 8,000 automobiles in the year 1900 to more than 183 million private and commercial vehicles in the late 1980s. Generally, the number of vehicles increased in each year, with the most notable exceptions during the Great Depression and Second World War.

Key information about United States Motor Vehicle Production

• United States Motor Vehicle Production was reported at 10,562,188.000 Unit in Dec 2024.
• This records a decrease from the previous number of 10,639,140.000 Unit for Dec 2023.
• US Motor Vehicle Production data is updated yearly, averaging 7,762,544.000 Unit from Dec 1997 to 2024, with 28 observations.
• The data reached an all-time high of 13,024,978.000 Unit in 1999 and a record low of 5,731,397.000 Unit in 2009.
• US Motor Vehicle Production data remains active status in CEIC and is reported by International Organization of Motor Vehicle Manufacturers.
• The data is categorized under World Trend Plus’s Association: Automobile Sector – Table RA.OICA.MVP: Motor Vehicle Production: by Country.

This dataset included Information about 43 brands, and 445 models of vehicles for sale in the US. The period is from 2013 to 2022 Data source: www.goodcarbadcar.net, www.marklines.com/en/vehicle_sales/index

There are numerous car datasets available that provide information on various aspects of vehicles. Here is a general description of the common types of information you may find in car datasets:

Make and Model: The brand and model name of the car. Year: The manufacturing year of the vehicle. Price: The price at which the car was listed or sold. Mileage: The number of miles the car has been driven. Fuel Efficiency: The car's average fuel consumption or MPG (Miles Per Gallon) rating. Horsepower: The power output of the car's engine. Number of Cylinders: The number of cylinders in the car's engine. Transmission: The type of transmission system in the car (e.g., automatic, manual). Drivetrain: The configuration of the car's drivetrain (e.g., front-wheel drive, rear-wheel drive, all-wheel drive). Body Type: The category or style of the car (e.g., sedan, SUV, truck, coupe). Engine Displacement: The capacity or size of the car's engine. Dimensions: Information about the car's length, width, height, and weight. Safety Ratings: Data on the car's safety features and crash test ratings. Features: Additional features and specifications such as navigation system, infotainment system, sunroof, etc

Car Production in the United States increased to 11.04 Million Units in August from 10.42 Million Units in July of 2025. This dataset provides - United States Car Production- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Automobile Registrations, Passenger Cars, Total for United States (A01108USA258NNBR) from 1895 to 1944 about car registrations, vehicles, and USA.

Key information about United States Motor Vehicle Sales: Passenger Cars

• United States Motor Vehicle Sales: Passenger Cars was reported at 2,984,039.000 Unit in Dec 2024.
• This records a decrease from the previous number of 3,116,647.000 Unit for Dec 2023.
• US Motor Vehicle Sales: Passenger Cars data is updated yearly, averaging 7,689,110.000 Unit from Dec 2005 to 2024, with 20 observations.
• The data reached an all-time high of 7,761,592.000 Unit in 2006 and a record low of 2,858,575.000 Unit in 2022.
• US Motor Vehicle Sales: Passenger Cars data remains active status in CEIC and is reported by International Organization of Motor Vehicle Manufacturers.
• The data is categorized under World Trend Plus’s Association: Automobile Sector – Table RA.OICA.MVS: Motor Vehicle Sales: by Country and Type: Passenger Car (PC).

US Motor Vehicle Registrations

Historical US Vehicle Registrations

By Throwback Thursday [source]

About this dataset

Each entry in this dataset includes various attributes that contribute to its richness. Key variables include state-level data, which allows for analysis on a regional basis, as well as more granular details such as vehicle type (e.g., passenger cars, trucks) and weight class (e.g., light-duty vehicles). Moreover, additional information on annual changes in registrations is provided, enabling users to observe fluctuations within specific years or compare registration numbers across different time periods.

The value of this dataset lies not only in its extensive coverage but also in its potential for conducting research across different fields such as transportation studies, urban planning, environmental impact analysis, and automotive industry analysis. The inclusion of historical data enables researchers to explore long-term trends that may have influenced societal behavior or policy decisions related to transportation infrastructure.

How to use the dataset

• Understand the Data:

  • The dataset provides a comprehensive record of motor vehicle registrations in the United States from 1900 to 1995.

  • The columns in the dataset include:

    a. Vehicle Type: Represents different types of vehicles (e.g., cars, motorcycles, trucks).

    b. Registration Count: Indicates the number of registered vehicles for each vehicle type and year.

• Analyze Vehicle Type Distribution:

  • To understand the distribution of registered vehicles by type over time, group the data by Vehicle Type and analyze registration counts.

• Identify Trends and Patterns:

  • By analyzing trends in registration counts over time, you can gain insights into changes in vehicle ownership patterns or preferences throughout history.

• Compare Different Vehicle Types:

  • Compare registration counts between different vehicle types to determine which types are more popular during various periods.

• Visualize Data:

  • Use various visualization techniques like line charts, bar graphs, or stacked area plots to represent registration counts with respect to time or compare different vehicle types side by side.

• Explore Historical Events:

  • Analyze how historical events (e.g., economic recessions, oil crises) affected motor vehicle registrations at specific points in time.

• Study Specific Time Periods:

  a. Early 20th Century:

  i) Investigate registrations from 1900-1920: Understand early trends and adoption rates of motor vehicles after their introduction

  ii) Explore changes during World War I: Analyze how war impacts influenced registrations

  b) Post-World War II Boom:

  i) Focus on growth patterns during post-WWII years (1945-1960): Identify if there was an acceleration in car registrations after wartime restrictions were lifted

• Conduct Further Research:

  • Supplement this dataset with additional sources to gain comprehensive insights into motor vehicle registrations in the U.S.

• Share Visualizations and Insights:

  • Compile interesting visualizations or insights gained from this dataset to inform others about motor vehicle registration history in the United States

Research Ideas

• Analyzing the growth and trends of motor vehicle registrations over time: This dataset allows for a detailed analysis of how motor vehicle registrations have evolved and expanded in the United States from 1900 to 1995. It can be used to identify patterns, changes in adoption rates, and shifts in popularity between different types of vehicles.
• Studying the impact of historical events on motor vehicle registrations: With this dataset, it is possible to explore the impact that major historical events and periods had on motor vehicle registrations. For example, one could analyze how registrations were affected by World War II or economic recessions during this time period.
• Comparing registration rates between different states and regions: This dataset provides information at a national level as well as broken down by state or region. It can be used to compare registration rates between different states or regions within specific years or over an extended time frame. This can provide insights into socioeconomic factors, population changes, and varying transportation needs across different areas of the country

Acknowledgements

If you use this dataset in your research, please credit the or...

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Description:

Welcome to the "Used Car Listings Dataset with Geographic Information" on Kaggle! This comprehensive dataset provides detailed information about a diverse collection of used cars available for sale in various regions across the United States. With a total of approximately 27,500 entries, this dataset offers a rich resource for analyzing and modeling the factors that influence used car prices and market trends.

Dataset Overview:

The dataset comprises three main files: train.csv, test.csv, and lat_long.csv. The primary data files, train.csv and test.csv, contain the following columns:

• id: A unique identifier for each car listing.
• region: The location where the car is listed for sale.
• year: The year the car was manufactured.
• manufacturer: The manufacturer of the car.
• condition: The condition of the car (e.g., excellent, good, fair).
• cylinders: The number of cylinders in the car's engine.
• fuel: The type of fuel the car uses (e.g., gas, diesel).
• odometer: The mileage on the car.
• title_status: The status of the car's title (e.g., clean, rebuilt).
• transmission: The type of transmission in the car (e.g., manual, automatic).
• drive: The type of drive in the car (e.g., fwd, rwd, 4wd).
• size: The size category of the car (e.g., compact, mid-size, full-size).
• type: The body type of the car (e.g., sedan, SUV, convertible).
• paint_color: The color of the car.
• state: The state where the car is listed for sale.
• **********price**: The listing price of the car.

These attributes collectively provide a comprehensive overview of each used car listing, making it an ideal dataset for exploratory analysis, feature engineering, and predictive modeling. While this dataset provides a comprehensive overview of each used car listing, it's important to be aware that some data cleaning, preprocessing, and advanced feature engineering might be necessary to ensure the most accurate and reliable analysis and modeling.

Geographic Information:

In addition to the main data files, the dataset includes lat_long.csv, which contains latitude and longitude information for the states mentioned in the primary dataset. This supplemental file facilitates geographical analysis and enables users to associate geographic coordinates with each car listing's location.

Potential Applications:

The "Used Car Listings Dataset with Geographic Information" is suitable for a variety of data science tasks, including but not limited to:

• Price Prediction: Build predictive models to estimate used car prices based on various attributes.
• Market Insights: Analyze market trends and consumer preferences in different regions.
• Geospatial Analysis: Combine geographic data to visualize and study spatial patterns.
• Feature Engineering: Create new features by combining or transforming existing attributes.

Acknowledgments:

We extend our gratitude to the data contributors for compiling this diverse and valuable dataset, which offers insights into the used car market across different regions in the United States.

Citation:

If you use this dataset for research or any other purpose, please provide appropriate credit and citation to the dataset and its contributors.

Explore, analyze, and innovate with the "Used Car Listings Dataset with Geographic Information" to uncover hidden insights and drive meaningful conclusions. Please note that this dataset's raw state might necessitate advanced preprocessing and feature engineering for optimal results. Happy analyzing!

Autos include all passenger cars, including station wagons. The U.S. Bureau of Economic Analysis releases auto and truck sales data, which are used in the preparation of estimates of personal consumption expenditures.

The U.S. auto industry sold nearly ************* cars in 2024. That year, total car and light truck sales were approximately ************ in the United States. U.S. vehicle sales peaked in 2016 at roughly ************ units. Pandemic impact The COVID-19 pandemic deeply impacted the U.S. automotive market, accelerating the global automotive semiconductor shortage and leading to a drop in demand during the first months of 2020. However, as demand rebounded, new vehicle supply could not keep up with the market. U.S. inventory-to-sales ratio dropped to its lowest point in February 2022, as Russia's war on Ukraine lead to gasoline price hikes. During that same period, inflation also impacted new and used car prices, pricing many U.S. consumers out of a market with increasingly lower car stocks. Focus on fuel economy The U.S. auto industry had one of its worst years in 1982 when customers were beginning to feel the effects of the 1973 oil crisis and the energy crisis of 1979. Since light trucks would often be considered less fuel-efficient, cars accounted for about ** percent of light vehicle sales back then. Thanks to improved fuel economy for light trucks and cheaper gas prices, this picture had completely changed in 2020. That year, prices for Brent oil dropped to just over ** U.S. dollars per barrel. The decline occurred in tandem with lower gasoline prices, which came to about **** U.S. dollars per gallon in 2020 - and cars only accounted for less than one-fourth of light vehicle sales that year. Four years on, prices are dropping again, after being the highest on record since 1990 in 2022.

The Household Size by Vehicles Available dataset was compiled using information from December 31, 2023 and updated December 12, 2024 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Household Size by Vehicles Available table from the 2023 American Community Survey (ACS) 5-year estimates was joined to 2023 tract-level geographies for all 50 States, District of Columbia and Puerto Rico provided by the Census Bureau. A new file was created that combines the demographic variables from the former with the cartographic boundaries of the latter. The national level census tract layer contains data on the number and percentage of households by household size by number of vehicles available. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529030

Comprehensive dataset containing 24 verified Car locations in United States with complete contact information, ratings, reviews, and location data.

Introduction

Welcome to the US English Language In-car Speech Dataset, a comprehensive collection of audio recordings designed to facilitate the development of speech recognition models specifically tailored for in-car environments. This dataset aims to support research and innovation in automotive speech technology, enabling seamless and robust voice interactions within vehicles for drivers and co-passengers.

Speech Data

This dataset comprises over 5,000 high-quality audio recordings collected from various in-car environments. These recordings include scripted wake words and command-type prompts.

Participant Diversity:

- Speakers: 50+ native English speakers from the FutureBeeAI Community.

- Regions: Ensures a balanced representation of United States of America1 accents, dialects, and demographics.

- Participant Profile: Participants range from 18 to 70 years old, representing both males and females in a 60:40 ratio, respectively.

Recording Nature: Scripted wake word and command type of audio recordings.

- Duration: Average duration of 5 to 20 seconds per audio recording.

- Formats: WAV format with mono channels, a bit depth of 16 bits. The dataset contains different data at 16kHz and 48kHz.

Dataset Diversity

Apart from participant diversity, the dataset is diverse in terms of different wake words, voice commands, and recording environments.

Different Automobile Related Wake Words: Hey Mercedes, Hey BMW, Hey Porsche, Hey Volvo, Hey Audi, Hi Genesis, Hey Mini, Hey Toyota, Ok Ford, Hey Hyundai, Ok Honda, Hello Kia, Hey Dodge.

Different Cars: Data collection was carried out in different types and models of cars.

Different Types of Voice Commands:

- Navigational Voice Commands

- Mobile Control Voice Commands

- Car Control Voice Commands

- Multimedia & Entertainment Commands

- General, Question Answer, Search Commands

Recording Time: Participants recorded the given prompts at various times to make the dataset more diverse.

- Morning

- Afternoon

- Evening

Recording Environment: Various recording environments were captured to acquire more realistic data and to make the dataset inclusive of various types of noises. Some of the environment variables are as follows:

- Noise Level: Silent, Low Noise, Moderate Noise, High Noise

- Parking Location: Indoor, Outdoor

- Car Windows: Open, Closed

- Car AC: On, Off

- Car Engine: On, Off

- Car Movement: Stationary, Moving

Metadata

The dataset provides comprehensive metadata for each audio recording and participant:

Participant Metadata: Unique identifier, age, gender, country, state, district, accent, and dialect.

Other Metadata: Recording transcript, recording environment, device details, sample rate, bit depth, file format, recording time.

This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the development of English voice assistant speech recognition models.

License

This US English In-car audio dataset is created by FutureBeeAI and is available for commercial use.

Car Registrations in the United States increased to 241.10 Thousand in August from 221.50 Thousand in July of 2025. This dataset provides - United States Car Registrations - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Exports of Automotive Vehicles in the United States decreased to 12390 USD Million in February from 13547 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Exports of Automotive Vehicles.

Overview

This dataset consists of details on daily used Tesla cars sold in United States from Tesla. Data fields include vin, year, model, color, miles, trim, sold price, interior, wheels, features, country, location, metro, state, currency, sold date.

Fields

• vin
• year
• model
• color
• miles
• trim
• sold_price
• interior
• wheels
• features
• country
• location
• metro
• state
• currency
• sold_date

Sample data from May 2022

vin	year	model	color	miles	trim
5YJSA1E27KF308860	2019	ms	WHITE	20891	100D Long Range All-Wheel Drive

sold_price	interior	wheels	features
81900	WHITE	NINETEEN	Pearl White Multi-Coat Paint;19" Silver Slipstream Wheels;Black and White Premium Interior;Full Self-Driving Capability;Smart Air Suspension;Glass Roof;Ultra High Fidelity Sound;HEPA Air Filtration System;Subzero Weather Package;Keyless Entry;Power Liftgate;GPS Enabled Homelink;Dark Ash Wood Décor;Dark Headliner;Infotainment Upgrade;

country	location	metro	state	currency	sold_date
US	Pomona, CA		CA	USD	2022-05-30

Download Sample Dataset

Specifications

• Dataset Format: CSV (comma-separated)
• Update Frequency: Monthly
• Geographic coverage: US

Data Source

From tesla.com

Subscription

• Email

Support

You can reach us at support@saturndatacloud.com for any questions on the dataset.

About Saturn Data

Saturn Data provides data mining solutions from public sources to deliver insights for enterprises and the market. If you are interested in acquiring other datasets or customized data mining service, email us at info@saturndatacloud.com.

Overview

This dataset consists of details on daily Carvana cars sold in United States from Carvana. Data fields include vehicle_id, make, year, model, miles, trim, sold price, discounted sold price, partnered dealership, delivery fee, earliest delivery date, sold date.

Fields

• vehicle_id
• stock_number
• year
• make
• model
• miles
• trim
• sold_price
• discounted_sold_price
• partnered_dealership
• delivery_fee
• earliest_delivery_date
• sold_date

Sample data from August 2022

vehicle_id	stock_number	year	make	model	miles
2388462	2001823541	2016	Ford	Focus	77108

trim	sold_price	discounted_sold_price	partnered_dealership
SE	14590	14590	FALSE

delivery_fee	earliest_delivery_date	sold_date
490	2022-08-11T16:29:53.448Z	8/5/2022

Download Sample Dataset

Specifications

• Dataset Format: CSV (comma-separated)
• Update Frequency: Monthly
• Geographic coverage: US

Data Source

From carvana.com

Subscription

• Email

Support

You can reach us at support@saturndatacloud.com for any questions on the dataset.

About Saturn Data

Saturn Data provides data mining solutions from public sources to deliver insights for enterprises and the market. If you are interested in acquiring other datasets or customized data mining service, email us at info@saturndatacloud.com.