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).
This dataset contains detailed information on electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) registered in the United States. It includes data about vehicle characteristics, location, and eligibility for clean alternative fuel vehicle (CAFV) programs. The dataset tracks key attributes such as VIN, make, model, model year, and electric vehicle type (e.g., Battery Electric Vehicle, Plug-in Hybrid Electric Vehicle). Additionally, it provides insights into the vehicle's eligibility for various clean fuel incentives and its battery range, where available.
Key Features: VIN (1-10): A unique identifier for each vehicle.
County, City, State, Postal Code: Geographical location of the vehicle's registration.
Model Year: The year the vehicle was manufactured.
Make & Model: Manufacturer and specific model of the vehicle.
Electric Vehicle Type: Indicates whether the vehicle is a Battery Electric Vehicle (BEV) or a Plug-in Hybrid Electric Vehicle (PHEV).
Clean Alternative Fuel Vehicle (CAFV) Eligibility: Details whether the vehicle qualifies for clean fuel vehicle programs.
Battery Range Information: Whether the vehicle's battery range has been researched and its eligibility for clean fuel incentives.
Price Ranges: The price categories of vehicles based on their range.
Insights and Use Cases: Vehicle Popularity Analysis: Analyze which EV models (e.g., Tesla, Nissan LEAF) are more prevalent across various U.S. regions.
CAFV Eligibility: Investigate how many electric vehicles are eligible for clean alternative fuel incentives and the distribution of these vehicles.
Geographic Distribution: Study regional patterns of EV adoption, including differences between urban and rural locations.
EV Type Analysis: Compare the number of Battery Electric Vehicles (BEVs) versus Plug-in Hybrid Electric Vehicles (PHEVs) in the dataset.
Market Trend Analysis: Track EV sales trends over the years and understand the impact of policy changes or environmental factors on EV adoption.
Potential Applications: Market Research: Analyze the geographic distribution of electric vehicles to identify areas with high adoption rates and potential for growth.
Policy Impact Assessment: Evaluate the effect of incentives on the adoption of electric vehicles.
Environmental Impact Studies: Assess the environmental benefits of electric vehicle adoption based on the vehicle type and eligibility for clean fuel programs.
This dataset is perfect for those interested in exploring trends in electric vehicle adoption, understanding market dynamics, and performing predictive analysis for the EV industry.
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.
In the fourth quarter of 2024, over ******* battery-electric vehicles were sold in the United States. This was a year-over-year increase of around **** percent compared to the sales recorded in the fourth quarter of 2023. The fourth quarter of 2024 also recorded a hike in sales compared to the third quarter of that same year, making it the best quarter for BEV sales in the country across the past two years. Global EV Race - Where does the U.S. stand? Over the last few years, consumers have perceived Electric Vehicles (EVs) as a far more appealing option due to their increased range, battery life, variety of models, and affordability. Therefore, the EV market has grown fast in recent years and is forecast to expand to *** trillion U.S. dollars in 2029. Though the global demand for electric cars has been escalating, American sales lag behind Europe and the Asia-Pacific regions. In 2023, Chinese customers bought around *** million plug-in EVs, considerably more than American customers' purchases,around *** million that year. China is the leader of the global EV race, with a substantial ** percent growth in sales year-on-year in 2023. However, given the market share of electric vehicles in the global automotive industry, this still can be anyone's race. Outlook of the U.S. market There is still a lack of interest in electric vehicles among American buyers compared to European and Asian consumers. In the first quarter of 2021, the share of the battery electric vehicle was **** percentage points more in Norway than in the U.S.. One of the main reasons is that American consumers still anticipate that EVs are more expensive than gasoline vehicles and diesel internal combustion engine cars (ICE). This perception is partially true in the U.S. since the battery production market is highly concentrated in Asia, where the companies have logistical advantages, leading automotive makers to offer better prices. On the other hand, high licensing fees for electric vehicles are another factor affecting the consumption behaviors of automobile purchasers. In many states, the licensing fees for electric cars are considerably higher than their ICE counterparts. EV licensing fees were around *** U.S. dollars compared to ** U.S. dollars for standard vehicles in Georgia in 2021. Together, these factors significantly impact the individual perception of electric cars in the United States.
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The purchase of electric vehicles (EV) has so far been studied almost exclusively based on descrip-tive statistics and correlations. Various studies examine the effects of socio-demographic factors and socio-psychological variables such as environmental and technological attitudes on purchasing. Such results allow to gain insights into the barriers that affect decision-making behavior and are most likely to hinder EV uptake. In addition, we want to assess how the decision-making process of potential EV buyers looks like and how much knowledge about EVs these buyers have. This allows us to identify potential policy incentives that could increase the market share of EVs. To do so, we plan to conduct survey experiments among a random sample of 10’000 residents aged ≥18 in the canton of Zurich. In these experiments, we will determine how potential buyers of EV react to vari-ous measures that attempt to reduce barriers of EV uptake. Such barriers include high purchase price, uncertainties regarding the resale value (depreciation), range anxiety and the lack of charging infrastructure. The results of the survey experiments will indicate how certain measures taken by the private and public sectors to address these barriers could affect the decision-making process to buy an EV.
The EV-GHG Mobile Source Data asset contains measured mobile source GHG emissions summary compliance information on light-duty vehicles, by model, for certification as required by the 1990 Amendments to the Clean Air Act, and as driven by the 2010 Presidential Memorandum Regarding Fuel Efficiency and the 2005 Supreme Court ruling in Massachusetts v. EPA that supported the regulation of CO2 as a pollutant. Manufacturers submit data on an annual basis, or as needed to document vehicle model changes. This asset will be expanded to include medium and heavy duty vehicles in the future.The EPA performs targeted GHG emissions tests on approximately 15% of vehicles submitted for certification. Confirmatory data on vehicles is associated with its corresponding submission data to verify the accuracy of manufacturer submissions beyond standard business rules.Submitted data comes in XML format or as documents, with the majority of submissions sent in XML, and includes descriptive information on the vehicle itself, emissions information, and the manufacturer's testing approach. This data may contain proprietary information (CBI) such as information on estimated sales or other data elements indicated by the submitter as confidential. CBI data is not publically available; however, CBI data can accessed within EPA under the restrictions of the Office of Transportation and Air Quality (OTAQ) CBI policy [RCS Link]. Pollutants data includes CO2, CH4, N2O. Datasets are divided by vehicle/engine model and/or year with corresponding emission, test, and certification data. Data assets are stored in EPA's Verify system.Coverage began in 2011, with summary light duty data available to the public on request. Raw data is only available to select EPA employees.EV-GHG Mobile Source Data submission documents with metadata, certificate and summary decision information is stored in Verify after it has been quality assured. Where summary data appears inaccurate, OTAQ returns the entries for review to their originator.
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A digital record of all Tesla fires - including cars and other products, e.g. Tesla MegaPacks - that are corroborated by news articles or confirmed primary sources. Latest version hosted at https://www.tesla-fire.com.
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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).