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...

Motor Vehicle Registrations by State and Type

US Motor Vehicle Registrations by Year, State, Type

By Throwback Thursday [source]

About this dataset

The dataset titled US Motor Vehicle Registrations 1900 - 1995 offers a comprehensive overview of motor vehicle registrations in the United States spanning from the early 20th century to the mid-1990s. This valuable dataset presents detailed information on the number of registered vehicles based on various factors, including year, state, vehicle type, and total registrations. It consists of five columns that represent essential data: Year (numeric), State (text), Vehicle Type (text), and Number of Registrations (numeric). With this dataset at your disposal, you can explore and analyze historical trends in motor vehicle registrations across different states and examine the preferences for various types of vehicles over time

How to use the dataset

Introduction:

Step 1: Familiarize yourself with the columns: Take a moment to understand each column present in this dataset:

• Year: Represents the specific year when motor vehicle registrations were recorded.
• State: Indicates the state in which these registrations were documented.
• Vehicle Type: Identifies the type of vehicles for which registrations were recorded (e.g., passenger cars, trucks, motorcycles).
• Number of Registrations: Indicates the total count of motor vehicle registrations for a particular year, state, and vehicle type.

Step 2: Set your research objectives: Determine your research or analysis goals before diving into data exploration. Clearly define what aspects you want to examine using this dataset. Possible research questions may include:

a) How have motor vehicle registration numbers changed over time? b) Which states have had consistently high or low registration numbers? c) What are some trends regarding different types of vehicles registered across states?

Step 3: Filter data based on specific criteria: To answer your research questions effectively, you might need to filter relevant data points. Here's how you can do it:

a) Year-wise Analysis - Filter data for specific years if you want a focused view. b) State-wise Analysis - Choose records related only to certain states if regional comparisons are required. c) Vehicle Type Analysis - Isolate data related to particular types of vehicles (passenger cars/trucks/motorcycles), if necessary.

Step 4: Analyze and visualize data: Once you have filtered the dataset based on your research objectives, it's time to analyze and visualize the information to gain insights. You can use statistical measures, charts, or graphs for a better understanding of the data distribution and trends.

a) Total Vehicle Registrations over Time - Visualize how motor vehicle registrations have changed from 1900 to 1995 using line charts or bar graphs. b) State-wise Comparisons - Utilize charts or maps to compare registration numbers between different states. c) Vehicle Type Breakdown - Explore pie charts or stacked bar graphs to understand the proportion of different vehicle types registered within specific states

Research Ideas

• Analyzing trends in motor vehicle registrations: By examining the number of registrations over a span of 95 years, researchers can identify trends and patterns in vehicle ownership and usage across different states and vehicle types. This information can be valuable for urban planning, transportation system design, and policy-making.
• Comparing vehicle preferences across states: The dataset allows for a comparison of vehicle types preferred by residents of different states. Researchers can analyze whether certain states have a higher proportion of trucks or motorcycles compared to passenger cars, which can provide insights into regional cultural preferences or economic factors.
• Studying the impact of technological advancements on vehicle registrations: Since the dataset covers a period spanning from 1900 to 1995, it provides an opportunity to study how technological advancements such as the introduction of automobiles or changes in engine efficiency impacted motor vehicle registrations over time. This information can contribute to understanding historical shifts in transportation patterns and inform predictions about future trends as well

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: Week 21 - US Motor Vehicle Registrations 1900 - 1995.csv | Column name | ...

United States US: Passenger Cars: Per One Million Units of Current USD GDP data was reported at 6.065 Ratio in 2019. This records a decrease from the previous number of 6.445 Ratio for 2018. United States US: Passenger Cars: Per One Million Units of Current USD GDP data is updated yearly, averaging 9.732 Ratio from Dec 1994 (Median) to 2019, with 26 observations. The data reached an all-time high of 16.741 Ratio in 1994 and a record low of 6.065 Ratio in 2019. United States US: Passenger Cars: Per One Million Units of Current USD GDP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Motor Vehicles Statistics: OECD Member: Annual. PASSENGER CARS The stock of road motor vehicles is the number of road motor vehicles registered at a given date in a country and licenced to use roads open to public traffic. This includes road vehicles exempted from annual taxes or licence fee; it also includes imported second-hand vehicles and other road vehicles according to national practices. It should not include military vehicles.; PASSENGER CARS A passenger car is a road motor vehicle, other than a moped or a motorcycle, intended for the carriage of passengers and designed to seat no more than nine people (including the driver). It refers to category M1 of the UN Consolidated Resolution on the Construction of Vehicles. Passenger cars, vans designed and used primarily for transport of passengers, taxis, hire cars, ambulances and motor homes are not included. Light goods road vehicles, motor-coaches and buses and mini-buses/mini-coaches are not included. Microcars (needing no permit to be driven), taxis and passenger hire cars, provided that they have fewer than ten seats, are included.; PASSENGER CARS Passenger car refers to a motor vehicle other than a motorcycle, utility vehicle or low-speed vehicle consisting of a transport device typically designed for carrying eight or fewer persons.

World Registered Vehicles

I was looking for a datset that may help us all in predicting the pollution due to vehicles in the world. I found this on the WHO website and Scrapped it from there and it will help to predict the amount of pollution present in the listed countires.

Content

The file contains the details of the number of registered vehicles in different countries from 1980's-2016.

Acknowledgements

https://www.who.int/gho/road_safety/registered_vehicles/number/en/

Inspiration

Redcuing Pollution is the need of the hour. We as data analysts can help in the same.

PLEASE UPVOTE IF YOU FOUND THIS DATASET USEFUL !

This dataset provides comprehensive information on the population of electric vehicles (EVs) registered across the United States. It captures key details such as vehicle make, model, model year, electric range, and type (Battery Electric Vehicles - BEVs, Plug-in Hybrid Electric Vehicles - PHEVs). The dataset also includes geographical insights, specifying registration counts at state and county levels.

The data is a crucial resource for understanding the adoption trends of electric mobility, supporting analyses on regional EV penetration, charging infrastructure needs, and environmental impact assessments related to EV growth. Researchers, policymakers, and industry stakeholders can leverage this dataset to explore market dynamics, forecast future growth, and plan for sustainable transportation infrastructure.

TN Motor Vehicle Registrations

• Acquired from TN Department of Revenue by records request under Tennessee Public Records Act
• Requested registration years 2018-2022
• Includes cars, trucks, freight trailers, motorcycles, mobile homes, etc.
• Starter notebook in code section
• These are useful for price analysis because the figure recorded on a title should be the true transaction price (after negotiation) and not just what a car was listed for online
• Not all the records include vehicle cost due to tax exemption, gift exemption, gift affidavits, etc
• Keywords: used car prices, new car prices, vehicle mileage, automobile transactions, primary source data

This shows the number of vehicles that were registered by Washington State Department of Licensing (DOL) each month. The data is separated by county for passenger vehicles and trucks. DOL integrates National Highway Traffic Safety Administration (NHTSA) data and the Environmental Protection Agency (EPA) fuel efficiency ratings with DOL titling and registration data to create this information.

This dataset provides a comprehensive, state-level view of the key factors influencing electric vehicle (EV) adoption across the United States. Compiled from authoritative sources such as the US Census Bureau, Department of Energy, National Renewable Energy Laboratory (NREL), and others, it includes annual data on EV registrations, socioeconomic indicators, infrastructure availability, policy incentives, and energy prices from multiple years.

The dataset is designed to support research and analysis on the drivers of EV adoption, enabling users to explore questions around policy effectiveness, infrastructure planning, and market dynamics.

Context & Motivation The transition to electric vehicles is a cornerstone of US climate and energy policy, yet EV adoption rates remain highly uneven across states. While states like California lead with robust infrastructure and incentives, other regions-particularly in the Midwest and South-lag behind. Understanding what drives these differences is crucial for policymakers, automakers, and energy providers.

This dataset was created as part of a research project investigating the determinants of EV adoption. By making this data publicly available, I hope to empower further research, foster data-driven policy decisions, and encourage innovation in sustainable transportation.

Data Sources EV Registrations: National Renewable Energy Laboratory (NREL)

Socioeconomic Indicators: US Census Bureau (population, income, education, labor force, unemployment)

Charging Infrastructure & Incentives: Alternative Fuels Data Center (AFDC)

Fuel Economy & Vehicle Registrations: Bureau of Transportation Statistics

Gasoline Prices: American Automobile Association (AAA)

Electricity Prices: Energy Information Administration (EIA)

CO2 Emissions: Bureau of Transportation Statistics Variables Included

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.

Kindly support if this dataset helps you by voting the dataset : )))

Electric Vehicle Population Data — Washington State (2025)

📌 Overview

This dataset contains detailed information about Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) currently registered in Washington State.
It is maintained and published by the Washington State Department of Licensing (DOL) and made available through the State of Washington Open Data Program on data.wa.gov.

The dataset offers a snapshot of the electric vehicle landscape in Washington, including details such as vehicle make, model, model year, type (BEV/PHEV), electric range, and registration location.

📅 Dataset Timeline

• First Published: October 19, 2023
• Last Updated: July 15, 2025
• Update Frequency: Periodically updated to reflect active vehicle registrations

🔍 Key Features

The dataset includes: - VIN (Vehicle Identification Number) — anonymized for privacy
- County and City — location of registration
- Model Year — vehicle’s manufacturing year
- Make & Model — brand and model name (e.g., Tesla Model 3, Nissan Leaf)
- Electric Vehicle Type — BEV (Battery Electric Vehicle) or PHEV (Plug-in Hybrid Electric Vehicle)
- Electric Range — estimated range in miles
- Base MSRP — manufacturer’s suggested retail price (where available)
- Legislative District — political district of registration
- DOL Category & Classification Codes — vehicle classification by the Department of Licensing

📊 Potential Use Cases

This dataset is highly valuable for: - Market Analysis — tracking adoption trends for electric vehicles across Washington
- Environmental Studies — analyzing the shift from internal combustion to electric mobility
- Infrastructure Planning — identifying areas with higher EV adoption for charging station placement
- Policy Evaluation — measuring the effectiveness of state incentives for EV adoption
- Data Visualization Projects — mapping EV distribution by county or city
- Machine Learning Models — predicting EV adoption patterns

🏛 Source & License

• Publisher: data.wa.gov — Washington State Open Data Program
• Maintainer: Washington State Department of Licensing
• License: Open Data Commons Open Database License (ODbL) v1.0

Attribution Requirement:

Contains information from the State of Washington Open Data Program, licensed under the Open Data Commons Open Database License (ODbL).
You are free to copy, modify, and distribute this data (even commercially) as long as you:
1. Attribute the source
2. Share any adapted data under the same license

Context

US Cars'data was scraped from AUCTION EXPORT.com. This dataset included Information about 28 brands of clean and used vehicles for sale in US. Twelve features were assembled for each car in the dataset.

Content

• This dataset includes 12 features:

Acknowledgements

I would like to thank my colleague Waleed and my GA instructors( Husain M. Al-Amer, Muhammad Irfan Mohamed Noordin, Amjad K. Alsulami, Yazeid Alqahtani) for keeping up with my complaints and pushing me to work harder. Also, I would like to thank my friends for supporting me.