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).

Introduction

Electric Vehicle Statistics: An electric vehicle, sometimes known as an EV. It is a type of vehicle that is propelled by one or more electric motors or traction motors.

Unlike classic ICE vehicles that run on gasoline or diesel. Electric vehicles (EVs) are powered by energy stored in batteries or supplied by an external power source.

The primary energy source for EVs is electricity, converted into mechanical energy to drive the vehicle. Different types of electric vehicles cater to various needs and preferences. Offering options for emissions reduction, energy efficiency, and varying ranges.

As technology advances, the electric vehicle landscape evolves, with more models and variations becoming available to consumers.

Cars with an electrified engine are tipped to account for just under one-fourth of the global market by 2025. It is estimated that pure battery electric vehicles will account for about 7.4 percent of worldwide car sales.
Internal combustion engines are set to lose market share
It is expected that the market share of conventional internal combustion engines will shrink to about 20 percent by 2050, while electric vehicles are projected to account for eight out of ten vehicle sales. Growth in pure battery electric vehicles’ market share shows consumer preference set on fully electric cars. Overall, rising popularity of electrified vehicles could prove vital in carbon dioxide mitigation. Electrified vehicles include cars that may use an electric motor when less power is needed and the main engine could be switched off.

Electrified vehicles are increasingly becoming more competitive
Hybrids have been preferred over battery electric vehicles due to the much larger range of fuel propelled vehicles, but enhanced battery technology of electric vehicle range continues to narrow this gap. Batteries are now also able to power larger cars such as SUVs, enabling new demographics to be targeted.

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

This shows the number of electric vehicles that were registered by Washington State 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.

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.

This dataset includes all new electric vehicles registered in Connecticut from 1/1/2021 to the most recent data available. The data is updated bi-annually.

This shows records of title activity (transactions recording changes of ownership), and registration activity (transactions authorizing vehicles to be used on Washington public roads).

This is a cars data set which is used to perform a data analysis process about this data. This data set also used to predict the type of car based on the features input like MPG, Cylinders, Displacement, Horsepower, Weight, Acceleration, Year of publishing and Country of origin. Use this data set to practice and implement the new techniques.

Cars and how much fuels they use

• Cars 1 Data is collected from link ### Dataset of electric passenger cars with their specifications This dataset lists all fully electric passenger cars with their attributes (properties). The collection does not contain data on plug-in hybrid cars and electric cars from the so-called “range extenders”. Hydrogen cars were also not included in the dataset due to the insufficient number of mass-produced models and different (compared to EV) specificity of the vehicle, including the different charging methods. The dataset includes cars that, as of 2 December, 2020, could be purchased in Poland as new at an authorized dealer and those available in public and general presale, but only if a publicly available price list with equipment versions and full technical parameters was available. The list does not include discontinued cars that cannot be purchased as new from an authorized dealer (also when they are not available in stock). The subject of the study is only passenger cars, the main purpose of which is to transport people (inter alia without including vans intended for professional deliveries). The dataset of electric cars includes all fully electric cars on the primary market that were obtained from official materials (technical specifications and catalogs) provided by automotive manufacturers with a license to sell cars in Poland. These materials were downloaded from their official websites. In the event that the data provided by the manufacturer were incomplete, the information was supplemented with data from the SAMAR AutoCatalog (link can be found in References section). The database consisting of 53 electric cars (each variant of a model – which differs in terms of battery capacity, engine power, etc. – is treated as separate) and 22 variables (25 variables, including make, model and “car name” merging these two previous).
• FEV data are collected from link ### Electric vehicle population 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).
• Data collected from link

SpaceKnow uses satellite (SAR) data to capture activity in electric vehicles and automotive factories.

Data is updated daily, has an average lag of 4-6 days, and history back to 2017.

The insights provide you with level and change data that monitors the area which is covered with assembled light vehicles in square meters.

We offer 3 delivery options: CSV, API, and Insights Dashboard

Available companies Rivian (NASDAQ: RIVN) for employee parking, logistics, logistic centers, product distribution & product in the US. (See use-case write up on page 4) TESLA (NASDAQ: TSLA) indices for product, logistics & employee parking for Fremont, Nevada, Shanghai, Texas, Berlin, and Global level Lucid Motors (NASDAQ: LCID) for employee parking, logistics & product in US

Why get SpaceKnow's EV datasets?

Monitor the company’s business activity: Near-real-time insights into the business activities of Rivian allow users to better understand and anticipate the company’s performance.

Assess Risk: Use satellite activity data to assess the risks associated with investing in the company.

Types of Indices Available Continuous Feed Index (CFI) is a daily aggregation of the area of metallic objects in square meters. There are two types of CFI indices. The first one is CFI-R which gives you level data, so it shows how many square meters are covered by metallic objects (for example assembled cars). The second one is CFI-S which gives you change data, so it shows you how many square meters have changed within the locations between two consecutive satellite images.

How to interpret the data SpaceKnow indices can be compared with the related economic indicators or KPIs. If the economic indicator is in monthly terms, perform a 30-day rolling sum and pick the last day of the month to compare with the economic indicator. Each data point will reflect approximately the sum of the month. If the economic indicator is in quarterly terms, perform a 90-day rolling sum and pick the last day of the 90-day to compare with the economic indicator. Each data point will reflect approximately the sum of the quarter.

Product index This index monitors the area covered by manufactured cars. The larger the area covered by the assembled cars, the larger and faster the production of a particular facility. The index rises as production increases.

Product distribution index This index monitors the area covered by assembled cars that are ready for distribution. The index covers locations in the Rivian factory. The distribution is done via trucks and trains.

Employee parking index Like the previous index, this one indicates the area covered by cars, but those that belong to factory employees. This index is a good indicator of factory construction, closures, and capacity utilization. The index rises as more employees work in the factory.

Logistics index The index monitors the movement of materials supply trucks in particular car factories.

Logistics Centers index The index monitors the movement of supply trucks in warehouses.

Where the data comes from: SpaceKnow brings you information advantages by applying machine learning and AI algorithms to synthetic aperture radar and optical satellite imagery. The company’s infrastructure searches and downloads new imagery every day, and the computations of the data take place within less than 24 hours.

In contrast to traditional economic data, which are released in monthly and quarterly terms, SpaceKnow data is high-frequency and available daily. It is possible to observe the latest movements in the EV industry with just a 4-6 day lag, on average.

The EV data help you to estimate the performance of the EV sector and the business activity of the selected companies.

The backbone of SpaceKnow’s high-quality data is the locations from which data is extracted. All locations are thoroughly researched and validated by an in-house team of annotators and data analysts.

Each individual location is precisely defined so that the resulting data does not contain noise such as surrounding traffic or changing vegetation with the season.

We use radar imagery and our own algorithms, so the final indices are not devalued by weather conditions such as rain or heavy clouds.

→ Reach out to get a free trial

Use Case - Rivian:

SpaceKnow uses the quarterly production and delivery data of Rivian as a benchmark. Rivian targeted to produce 25,000 cars in 2022. To achieve this target, the company had to increase production by 45% by producing 10,683 cars in Q4. However the production was 10,020 and the target was slightly missed by reaching total production of 24,337 cars for FY22.

SpaceKnow indices help us to observe the company’s operations, and we are able to monitor if the company is set to meet its forecasts or not. We deliver five different indices for Rivian, and these indices observe logistic centers, employee parking lot, logistics, product, and prod...

Power up your Electric Vehicle (EV) development with Datatorq's extensive data. Our curated database features over 250 data points, including key information like price, specs, features, and dimensions. Stay ahead of the curve with our regularly updated data.

Why choose Datatorq's Electric Vehicle (EV) Data? - EV-Focused Insights: Get the in-depth information you need to develop and price your EVs for optimal market success. - Granular View of the Evolving EV Landscape: Our EV specialists curate our data to provide unparalleled insights into the dynamic world of Electric Vehicles (EVs). - Confidence-Building Electric Vehicle (EV) Data: Our data is cleaned, comprehensive, and meticulously maintained to ensure the highest level of accuracy for your critical decisions. - Scalable & Customizable Solutions: We tailor our EV Data to your specific needs so you get exactly the data that drives results. - Always Up-to-Date Electric Vehicle (EV) Data: Our Electric Vehicle data is constantly refreshed and validated monthly, keeping you ahead of the curve in this fast-paced market.

Datatorq's expansive and precise Electric Vehicle (EV) datasets are designed to empower innovation and success in your EV product development and pricing strategies across Europe. Gain a competitive edge in France, UK, Italy, Poland, Netherlands, Spain, Belgium, Germany, Austria, Czechia, Portugal, Romania, Switzerland, Denmark, Norway, Slovenia, Sweden, and Ireland.

This dataset contains data on the charging time of electric vehicles for a typical month in a certain city. The types of electric vehicles include: buses, private passenger cars, ride hailing vehicles, logistics vehicles, and rental passenger cars. The activity area is divided into: office area, industrial area, residential area, and commercial area. The dataset takes one hour as the statistical cycle to calculate the charging frequency of electric vehicles of various types and regions during a certain period of time. Methods This dataset is selected from the electric vehicle charging station status statistical dataset provided by Henan Power Grid. When organizing this dataset, unnecessary status data was removed and October was taken as a typical month, and the charging data of electric vehicles in October was extracted separately.

Electric vehicles amounted to around 16.7 percent of global passenger car sales in 2023, which was a rise of around 3.1 percentage points year-over-year. Electric vehicle sales have rapidly increased since 2017, when they rose above one percent of the market, and have particularly accelerated since 2020. Many consumers started looking for more sustainable transportation methods amid the COVID-19 pandemic due to increased environmental consciousness. This contributed to the EV market expansion worldwide. A market driven by innovation Various factors contribute to the rapid growth of the electric vehicle market, including consumer perception, governmental targets, and investments in technological innovation. Regional institutions and national governments are committing to policies supporting electric vehicle adoption worldwide, with around 97 percent of the light-duty vehicle market comprising countries with these policies. Governmental spending on electric cars reached around 45 billion current U.S. dollars in 2022, the steepest increase recorded in the past five years, and global automakers are also allocating part of their revenue toward research and development expenses. Challenges and opportunities for EV charging Electric vehicle charging was the second technology type receiving the most early and growth-stage venture capital investments in 2023, above electric vars and electric two-wheelers. In 2023, there were around 11 electric vehicles per charging point worldwide, and access to this infrastructure was unequal, with China boasting the largest electric vehicle supply equipment network. Slow chargers, typically alternating current, were also the most common charging type, creating opportunities for the development of fast charging across the globe.

This dataset provides a detailed overview of the electric vehicle (EV) market in India from 2001 to 2024. It includes monthly sales data, sales data categorized by manufacturer, and vehicle class-wise sales data for different manufacturers. This rich dataset is ideal for market analysis, trend forecasting, and research on the adoption and growth of electric vehicles in India.

Updated Files Included

EV Maker by Place

List of popular EV Makers and their location of Manufacturing Plant

Operational PC

Total Operational Public Charging Station for EV available in each state

Vehicle Class

Total vehicles (includes electric and all other fuels) registered (manufactured) by category from 2001 - Aug 2024

ev_cat_01-24

Total electric vehicles manufactured from 2001 - Aug 2024 and vehicle category

ev_sales_by_makers_and_cat_15-24

Total electric vehicles manufactured by makers from 2015 - Aug 2024 with the vehicle class

Potential Uses

• Market Analysis: Understand the growth trends and market share of different manufacturers in the Indian EV market.
• Forecasting: Predict future sales trends based on historical data.
• Research: Study the adoption patterns and the impact of various factors on the EV market in India.

Acknowledgments

This dataset was compiled and web-scrapped from Vahaan4 Dashboard

Note - The data for name of Manufacturers is only available from 2015

This dataset contains session details from publicly available, Town-owned electric vehicle charging stations. The dataset does not include the EV charging station located at Herb Young Community Center Parking Deck (121 Wilkinson Avenue Cary, NC 27513) although it is operational. This report was pulled January 3, 2023. The dataset is updated monthly.

Some 39 million battery electric vehicles (BEVs) were in use globally in 2024. That year, around 11 million new battery electric vehicles were added to the worldwide fleet, steadily growing since 2016. Electric vehicle demand gains steam In light of tightening environmental regulations and increasing worldwide acceptance of electric transmission vehicles, a growing number of automakers intend to tap into the market for electric vehicles. Consumers' car purchasing intention followed suit as the COVID-19 pandemic contributed to increasing environmental awareness. The world's best-selling battery-electric vehicle is Tesla's Model Y, the best-selling passenger car worldwide in 2024. California-based Tesla Motors was among the first carmakers to assemble electric vehicles exclusively. In 2024, Tesla delivered nearly 1.8 million vehicles worldwide. Power grid charging challenges Government agencies have been introducing limits on carbon dioxide emissions worldwide to address more significant environmental concerns. Car manufacturers are expected to be penalized if they fail to meet these limits. However, concerns have been raised regarding the sources of electricity employed to power electric cars and how materials used in car batteries are generally not taken into consideration when it comes to calculating a vehicle's carbon footprint. On the consumer level, the regular power grid was the leading power source drivers in various countries reported intending to use to charge their EVs due to its accessibility compared to alternative power sources. Challenges are, therefore, still ahead for the BEV market.

The global electric car market size was valued at USD 178.1 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 648.8 Billion by 2033, exhibiting a CAGR of 15.45% from 2025-2033. Asia Pacific currently dominates the market, holding the largest market share in 2024. The electric car market share is increasing due to the rising environmental awareness among consumers, strict emission standards put in place by various governments around the globe, and advancements made in battery technology and charging infrastructure. emissions standards by governments across the globe, and the advancements in battery technology and charging infrastructure are some of the major factors propelling the market.

Electric vehicles (EVs) play an important role in reducing carbon emissions. As EV adoption accelerates, safety issues caused by EV batteries have become an important research topic. In order to benchmark and develop data-driven methods for this task, we introduce a large and comprehensive dataset of EV batteries. Our dataset includes charging records collected from hundreds of EVs from three manufacturers over several years. Meanwhile, our dataset features two types of labels, corresponding to two key tasks - battery health estimation and battery capacity estimation. We hope that this public dataset provides valuable resources for researchers, policymakers, and industry professionals to better understand the dynamics of EV battery aging and support the transition toward a sustainable transportation system.

Charging data are collected from one of three sources, each with varying levels of additional information. These sources, in approximate order from most to least additional information, are: • The electric vehicle supply equipment (charger) • Onboard the vehicle itself • From a utility submeter. Many chargers provide software that allows for the collection and reporting of charging session data. If unavailable, data may be recorded by the charging vehicle’s onboard systems. If neither of these options is available, data can be acquired from utility submeters that simply track the energy flowing to one or more chargers. Data collected directly from the electric vehicle supply equipment (EVSE) are typically the most accurate and highest frequency. However, it is not always possible to discern which exact vehicle is being charged during any one session. EVSE-side data can be identified where a single charger ID but a range of vehicle IDs are present (e.g., CH001, EV001-EV005). Data collected from the vehicle’s onboard systems usually does not provide information on which exact charger is being used. Vehicle-side data can be identified where a single Vehicle ID but a range of Charger IDs are present (e.g., EV001, CH001-CH005). Data collected from utility submeters provide no information on which specific vehicle is charging or which specific charger is in use. Submeter data can be identified where multiple Vehicle IDs and multiple Charger IDs are present, but only a single Fleet ID is present (e.g., EV001-EV005, CH001-CH005, Fleet01). The Charge Data Daily/Session Dictionaries contains definitions for each available parameter collected as part of an individual charging session, aggregated at either a daily or session level. The parameters available will vary between vehicles and chargers. The Charger Attributes table contains specific charger characteristics, coded to at least one anonymous Charger ID and linked to either a single or a range of Vehicle IDs. Vehicle ID can be used as a key between charging data and vehicle attribute tables. The Charger Attributes Data Dictionary contains definitions for each available parameter collected on the physical and operational characteristics of the charging hardware itself. The Vehicle Attributes Data Dictionary contains definitions for each available parameter associated with a vehicle’s physical and functional attributes and fleet context. The Vehicle Attributes table contains specific vehicle characteristics, coded to an anonymous Vehicle ID. This Vehicle ID can be used as a key between vehicle data and vehicle attribute tables, and in cases where charging data are supplied, links a vehicle with the charger(s) that supplied it power. The Charging Data tables contain the data from each charger’s operations, coded to at least one anonymous Charger ID and linked to either a single or a range of Vehicle IDs. Vehicle ID can be used as a key between charging data and vehicle attribute tables. Data is being uploaded quarterly through 2023 and subject to change until the conclusion of the project.