This dataset shows the Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through Washington State Department of Licensing (DOL).

Young people between 18 and 29 years old were the age group most likely to consider the purchase of an electric vehicle in the United States as of May 2022. Around ** percent of the Americans between 18 and 29 years old surveyed reported being somewhat or very likely to consider buying an electric car. By contrast, only ** percent of the respondents over 65 years old surveyed declared having an interest for the vehicle segment. The likelihood to consider the purchase of an electric vehicle also depended on consumers' previous EV knowledge.

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.

As per a January 2024 survey, ** percent of respondents in France charged their vehicle most often at home, making home charging the preferred EV charging method for French electric vehicle owners. At ** percentage points below home charging, workplace charging was second in the ranking.

As per a March 2024 survey, eight in 10 electric vehicle owners in Germany would have access to private charging options. In contrast, among participants who were planning to purchase an electric vehicle, only 37 percent had access to private charging infrastructure.

The increasing diversity of vehicle type holdings and growing demand for BEVs and PHEVs have serious policy implications for travel demand and air pollution. Consequently, it is important to accurately predict or estimate the preference for vehicle holdings of households as well as the vehicle miles traveled by vehicle body and fuel type to project future VMT changes and mobile source emission levels. The current report presents the application of a utility-based model for multiple discreteness that combines multiple vehicle types with usage in an integrated model, specifically the MDCEV model. We use the 2019 California Vehicle Survey data here that allows us to analyze the driving behavior associated with more recent EV models (with potentially longer ranges). Important findings from the model include:

Household characteristics like size or having children have an expected impact on vehicle preference: larger vehicles are preferred. College education, rooftop solar ownership, and the number of employed workers in a household affect the preference for BEVs and PHEVs in the small car segment dominated by the Leaf, Bolt, Prius-Plug-in and the Volt often used as a commuter car. Among built environment factors, population density and the walkability index of a neighborhood have a statistically significant impact on the type of vehicle choice and VMT. It is observed that a 10% increase in population density reduces the preference for ICEV pickup trucks by 0.34% and VMT by 0.4%. However, if the increase in population density is 25%, the reduction in preference for pickup trucks is 8.4% and VMT is 8.6%. The other built environment factor we consider is the walkability index. If the walkability index of a neighborhood increases by 25%, it reduces the preference for ICEV pickup trucks by 15% and their VMT by 16%. Overall, these results suggest that if policies encourage mixed development of neighborhoods and increase density, it can have an important impact on ownership and usage of gas guzzlers like pickup trucks and help in the process of electrification of the transportation sector.

Methods The dataset used in this report was created using the following public data sources:

2019 California Vehicle Survey: "Transportation Secure Data Center." ([2019]). National Renewable Energy Laboratory. Accessed [04/26/2023]: www.nrel.gov/tsdc. The Smart Mapping Tool by EPA: https://www.epa.gov/smartgrowth/smart-location-mapping

American Community Survey: https://www.census.gov/programs-surveys/acs

The given dataset provides information about vehicles, including their identification, location, specifications, and other relevant details. It contains several columns, each representing a specific aspect of the vehicles.

The "VIN(1-10)" column contains the unique Vehicle Identification Number assigned to each vehicle. The "Country" column indicates the country where the vehicle is registered, while the "City" and "State" columns specify the city and state of the vehicle's location. The "Postal code" column provides the postal code of the vehicle's location.

The dataset also includes information about the vehicle's characteristics. The "Model Year" column denotes the manufacturing year of the vehicle model, while the "Make" and "Model" columns indicate the manufacturer and model name, respectively. The "Electric Vehicle Type" column categorizes the vehicles based on their electric propulsion, such as a battery-powered or plug-in hybrid.

Additionally, the dataset includes columns related to eligibility for Clean Alternative Fuel Vehicle (CAFV) incentives, electric range, base MSRP (Manufacturer's Suggested Retail Price), legislative district, and DOL Vehicle ID. The "Vehicle Location" column specifies the precise location or address of the vehicle.

Furthermore, the dataset provides information about the electric utility company that services the vehicles and the 2022 Census Tract associated with their location.

Overall, this dataset offers a comprehensive overview of vehicles, their characteristics, and relevant details that can be used for various analyses and insights related to electric vehicles, location-specific information, and other aspects of the vehicles' attributes.

Tasks :

• Get all the cars and their types that do not qualify for clean alternative fuel vehicle
• Get all TESLA cars with the model year, and model type made in Bothell City.
• Get all the cars that have an electric range of more than 100, and were made after 2015
• Draw plots to show the distribution between city and electric vehicle types

As per a January 2024 survey, half of the electric vehicle owners in France thought electric vehicles fulfilled the same functions than an equivalent internal combustion model. Another 43 percent agreed with that sentiment most of the time, save for some specific trips.

📝 Description

This Electric Vehicle (EV) Sales and Adoption dataset contains detailed records of electric vehicle sales, including vehicle details, region, customer segments, and sales metrics. It aims to help data enthusiasts and businesses forecast EV sales, analyze market trends, and derive insights to improve marketing and inventory strategies.

📊 Collection Methodology

Data Aggregation: Combined from (fictional) public EV registration records, automotive dealership sales reports, and online retailer transactions.

Quality Control: Only confirmed EV transactions are included; partially-completed orders and canceled orders were filtered out.

Revenue Calculation: Reflects the final sale price after applying any applicable discounts or incentives.

Feature Engineering: Customer demographics (segment, region) are included to facilitate market segmentation analysis.

🚀 Potential Use Cases

Sales Forecasting – Predict future EV sales volume based on regional and demographic patterns.

Market Trend Analysis – Identify which brands and vehicle types are most popular in specific regions.

Battery and Range Insights – Correlate battery capacity and fast-charging options with sales performance.

Consumer Behavior & Segmentation – Understand different customer segments' purchasing habits and price sensitivities.

Environmental Policy & Incentive Impact – Investigate how discounts or tax incentives affect adoption rates.

🔑 Key Features

Date: Represents a month in YYYY-MM format.

Region: Geographic region where sales took place.

Brand: Automotive brand (e.g., Tesla, BYD, Volkswagen, etc.).

Model: Specific EV model name.

Vehicle_Type: Category (Sedan, SUV, Hatchback, etc.).

Battery_Capacity_kWh: Battery capacity in kilowatt-hours.

Discount_Percentage: Any discount applied to final sale (%).

Customer_Segment: Broad segmentation (High Income, Tech Enthusiast, Eco-Conscious, etc.).

Fast_Charging_Option: Indicates if the vehicle supports fast-charging.

Units_Sold: Total number of units sold (in train.csv).

Revenue: Total revenue from units sold (in train.csv).

This dataset is well-suited for machine learning, statistical analysis, and data visualization projects that address growing interest in electrification, sustainability, and emerging transportation technologies!

Electric Vehicle (EV) ownership

As per a January 2024 survey, nearly a quarter of electric vehicle owners in France charged their vehicles three to four times a week. Some 23 percent of consumers also charged their vehicle on average once and twice a week.

Analysis of ‘Electric Vehicle Population Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/844dbad1-ee1e-44b8-9799-34cb7ed24640 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset shows the Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through Washington State Department of Licensing (DOL).

--- Original source retains full ownership of the source dataset ---

Shared Electric Vehicle Platform Market Outlook

The shared electric vehicle platform market is poised for robust growth, with the global market size expected to surge from USD 25 billion in 2023 to an impressive USD 85 billion by 2032, reflecting a compound annual growth rate (CAGR) of approximately 14%. The growth of this market can be attributed to a combination of technological advancements, increasing urbanization, and growing environmental awareness. Public policies promoting sustainable transport solutions and the rapid shift towards electrification in the automotive sector are further catalyzing this burgeoning market. The shared electric vehicle (EV) platform concept capitalizes on the increasing consumer demand for cost-effective, clean, and efficient modes of transportation.

The increasing adoption of electric vehicles and the paradigm shift towards shared mobility are significant growth drivers for the market. Consumers are becoming more environmentally conscious, seeking alternatives to conventional internal combustion engines. This trend is supported by government incentives and policies aimed at reducing carbon emissions, which are further encouraging the transition to electric-powered shared mobility solutions. In addition to these changes in consumer preferences, advancements in battery technology are making electric vehicles more affordable and efficient, thereby lowering the barriers to entry for shared EV platforms. The integration of modern technologies such as IoT, AI, and big data analytics is enhancing the operational efficiency, safety, and user experience of shared EV platforms, attracting more users and investors into this space.

The economic advantages associated with shared electric vehicle platforms are also contributing to market expansion. Shared mobility offers a cost-effective solution to traditional car ownership, particularly in urban areas where parking space is limited and traffic congestion is high. By spreading the cost of vehicle ownership across multiple users, shared electric vehicle platforms provide a financially viable option for consumers who might otherwise be unable to afford an electric vehicle. This economic model is particularly appealing to younger demographics, who prioritize access over ownership and are comfortable using app-based transportation services. As a result, the shared electric vehicle platform market is witnessing a surge in demand across urban centers worldwide.

Furthermore, environmental concerns and legislative efforts aimed at reducing the carbon footprint of transportation systems are propelling the shared electric vehicle market forward. Cities worldwide are implementing stringent emission regulations and encouraging the use of zero-emission vehicles. Shared electric vehicle platforms fit seamlessly into these strategies, offering an effective means to reduce traffic-related emissions. The confluence of these factors is creating a fertile environment for the growth of shared electric vehicle platforms, as stakeholders, including governments, investors, and end-users, align their interests towards sustainable transportation solutions.

Regionally, the Asia Pacific region is expected to dominate the shared electric vehicle platform market, driven by China and India, where rapid urbanization and favorable government policies supporting electric vehicles are prevalent. North America and Europe are also anticipated to witness significant growth, fueled by technological innovation and strong regulatory frameworks promoting sustainable mobility. Meanwhile, Latin America and the Middle East & Africa are gradually emerging as potential growth areas, owing to increasing investments in sustainable infrastructure and growing awareness of the benefits of shared mobility.

Vehicle Type Analysis

In the context of shared electric vehicle platforms, vehicle types play a pivotal role in determining the market dynamics. The market primarily segments into passenger vehicles and commercial vehicles. Passenger vehicles, which include cars and smaller vehicles typically used for personal transport, are expected to hold the largest share of the market. The demand for passenger vehicles in shared mobility services like car-sharing and ride-hailing is driven by the growing urban population, changing consumer preferences towards sustainable transport options, and the need for cost-effective commuting solutions. These vehicles offer flexibility, convenience, and an environmentally friendly alternative to personal vehicle ownership, particularly in densely populated urban areas.

Commercial vehicles, on the other hand, a

Electric Vehicle Market Outlook

Based on our latest research, the global electric vehicle (EV) market size reached an impressive USD 623.4 billion in 2024, marking a pivotal year for the industry. The sector is exhibiting robust momentum with a compound annual growth rate (CAGR) of 18.6% from 2025 to 2033. By the end of 2033, the global electric vehicle market is forecasted to surpass USD 2,261.7 billion, driven by escalating consumer demand, stringent emission regulations, and rapid advancements in battery technology. The surge in governmental incentives, coupled with the expansion of charging infrastructure and growing environmental consciousness, are the primary catalysts underpinning this remarkable growth trajectory.

The electric vehicle market is being propelled by a confluence of transformative factors. Chief among these is the global shift toward sustainable transportation, prompted by mounting concerns over climate change and air pollution. Governments worldwide are instituting stringent emission norms and offering lucrative subsidies and tax incentives to encourage both manufacturers and consumers to embrace electric mobility solutions. These policy initiatives, combined with urbanization trends and rising fuel prices, are compelling automakers to accelerate the development and deployment of advanced EV models across diverse segments, from passenger cars to commercial fleets. The proliferation of public and private sector investments in research and development is further catalyzing innovation, particularly in battery chemistry and vehicle design, which is crucial for enhancing driving range and reducing costs.

Another significant growth driver is the rapid evolution of battery technology, specifically the widespread adoption of lithium-ion batteries. These batteries offer superior energy density, longer cycle life, and faster charging capabilities compared to traditional alternatives such as lead-acid or nickel-metal hydride batteries. The declining cost of lithium-ion batteries, coupled with improvements in supply chain logistics and manufacturing efficiency, is making electric vehicles increasingly affordable for mass-market consumers. Furthermore, the emergence of next-generation battery technologies, including solid-state batteries and alternative chemistries, promises to further extend vehicle range, reduce charging times, and improve overall safety, thereby addressing some of the most persistent barriers to EV adoption.

The expansion of charging infrastructure is another pivotal factor fueling the electric vehicle market’s upward trajectory. Governments and private enterprises are investing heavily in the development of both normal and supercharging networks, aiming to reduce range anxiety and make EV ownership more convenient. Innovative solutions such as ultra-fast chargers, wireless charging, and vehicle-to-grid integration are being deployed in urban and rural settings alike. These advancements are not only enhancing the user experience but also supporting the electrification of commercial fleets and public transportation systems. As charging infrastructure becomes more ubiquitous and technologically advanced, it is expected to play a decisive role in accelerating the transition to electric mobility on a global scale.

Regionally, Asia Pacific continues to dominate the electric vehicle market, accounting for the largest share in 2024. This dominance is attributed to the presence of leading EV manufacturers, supportive government policies, and a rapidly growing middle-class population with increasing purchasing power. China, in particular, stands out as the largest EV market globally, with aggressive targets for new energy vehicle adoption and significant investments in charging infrastructure. Meanwhile, Europe and North America are also witnessing substantial growth, driven by robust regulatory frameworks, ambitious decarbonization goals, and heightened consumer awareness. Emerging markets in Latin America and the Middle East & Africa are gradually catching up, spurred by urbanization and government-led sustainability initiatives, although their market shares remain comparatively modest.

Analysis of ‘Electric Vehicle Population Size History’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/95a4aa73-6a97-41f8-a949-970dee5dd706 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

This shows the number of electric vehicles that were registered by Department of Licensing (DOL) each month. 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.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Electric Vehicle Population Size History By County’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/49227ac1-3484-4dff-91f9-cee23909ce98 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

This shows the number of vehicles that were registered by 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.

--- Original source retains full ownership of the source dataset ---

The path to transportation decarbonization will rely heavily on electric vehicles (EVs) in the United States. EV diffusion forecasting tools are necessary to predict the impacts of EVs on local energy demand and environmental quality. Few EV adoption models operate at a fine spatial scale and those that do still rely on aggregated demographic information. This adoption model is one of the first attempts to employ a synthetic population to examine EV distribution at a fine spatial and demographic scale. Using a synthetic population at the Census-Tract-level, enriched with household fleet body types and home-charging access, we consider the effect of vehicle body type on EV spatial distribution and home-charging access in California. We examine two EV body type mixes in a high electrification scenario where 8 million EVs are distributed across 6 million households in California: a “Small Vehicles” scenario where 6 million EVs are passenger cars and 2 million EVs are trucks, sport utility vehicles (SUVs), or vans and a “Large Vehicles” scenario with 4 million of each category. We find that an electrification scenario with more electric trucks and SUVs serves to distribute electrified households more evenly throughout the state, shifting them from urban to rural counties, while there is little impact on home-charging access.

As per a January 2024 survey, half of respondents who owned an electric vehicle and were unsatisfied with the public charging infrastructure in France thought the pricing of public charging to be unclear and not explicit enough. Three of the five reasons leading to consumer dissatisfaction were related to issues with pricing or payment options.

The data for Total cost of ownership was collected from academic research on the topic, technical reports from the industry, and data on vehicle technology maintained by the Environmental Protection Agency (EPA) and the Alternative Fuel Data Center.

The household-level data used for market segmentation is obtained from the 2019 California Vehicle Survey hosted by NREL.