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

A Battery Electric Vehicle (BEV) is an all-electric vehicle using one or more batteries to store the electrical energy that powers the motor and is charged by plugging the vehicle in to an electric power source. A Plug-in Hybrid Electric Vehicle (PHEV) is a vehicle that uses one or more batteries to power an electric motor; uses another fuel, such as gasoline or diesel, to power an internal combustion engine or other propulsion source; and is charged by plugging the vehicle in to an electric power source.

Clean Alternative Fuel Vehicle (CAFV) Eligibility is based on the fuel requirement and electric-only range requirement as outlined in RCW 82.08.809 and RCW 82.12.809 to be eligible for Alternative Fuel Vehicles retail sales and Washington State use tax exemptions. Sales or leases of these vehicles must occur on or after 8/1/2019 and meet the purchase price requirements to be eligible for Alternative Fuel Vehicles retail sales and Washington State use tax exemptions.

Monthly count of vehicles for a county may change from this report and prior reports. Processes were implemented to more accurately assign county at the time of registration.

Updated: March 12, 2024

The Global EV Outlook is an annual publication that identifies and discusses recent developments in electric mobility across the globe. It is developed with the support of the members of the Electric Vehicles Initiative (EVI).

Combining historical analysis with projections to 2030, the report examines key areas of interest such as electric vehicle and charging infrastructure deployment, energy use, CO2 emissions, battery demand, and related policy developments. The report includes policy recommendations that incorporate lessons learned from leading markets to inform policymakers and stakeholders concerning policy frameworks and market systems for electric vehicle adoption

The number of all-electric cars in operation in Germany has picked up steam over the past decade and soared to new heights at the beginning of 2025, when more than **** million battery-electric cars were registered in Germany. Given Germany's large appetite for diesel and petrol cars, the growing share of plug-in electric vehicles in new registrations is striking. About **** percent of cars sold in 2024 in Germany were battery-electric cars, and another *** percent were plug-in hybrid electric vehicles. New car registrations Passenger car sales in Germany dropped amid the COVID-19 pandemic and global automotive semiconductor shortage but have increased slightly in 2023, up to *** million units sold. Annual sales of battery and plug-in hybrid electric vehicles came close to ******* units in Germany, making it the largest market in terms of absolute plug-in electric car registrations in Europe in 2024. Tesla Model 3 most popular model in Europe The Tesla Model Y was the best-selling plug-in electric vehicle model in Europe in 2024. That year, Tesla sold almost ******* units of its Model Y electric car to customers in Europe. Tesla's Model 3 and Škoda's Enyaq rounded off the top three in the ranking.

In the third quarter of 2025, over ******* battery-electric vehicles were sold in the United States. This was a year-over-year increase of over ***percent compared to the sales recorded in the third quarter of 2024. The third quarter of 2025 also recorded a hike in sales compared to the second quarter of that same year, making it the best quarter for BEV sales in the country ever. The stark increase in sales in the third quarter of 2025 is tied to the elimination of EV purchase incentives by the U.S. government. The fourth quarter of 2025 could very well see a decrease in sales. 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 ****billion 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 2024, Chinese customers bought around **** million plug-in EVs, considerably more than American customers' purchases, around *** million that year. China leads the global EV race, with a substantial **** percent growth in sales year-on-year in 2024. 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 half 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 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 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

In 2025, electric cars (BEV and PHEV) made up around *** percent among passenger cars in Germany. Figures have mostly been increasing annually during the specified timeline, especially for BEV.

This publication has been produced by Central Statistics and Research Branch (CSRB). It contains information on people’s awareness of and attitudes towards electric cars and the factors that would encourage or discourage them from buying an electric vehicle. Source agency: Regional Development (Northern Ireland) Designation: Official Statistics not designated as National Statistics Language: English Alternative title: E-Cars research

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.

CONTEXT: This is a dataset of electric vehicles.

One of the more popular data science datasets is the mtcars dataset. It is known for its simplicity when running analysis and visualizations.

When looking for simple datasets on EVs, there don't seem to be any. Also, given the growth in this market, this is something many would be curious about. Hence, the reason for creating this dataset.

For more information, please visit the data source below.

TASKS: Some basic tasks would include 1. Which car has the fastest 0-100 acceleration? 2. Which has the highest efficiency? 3. Does a difference in power train effect the range, top speed, efficiency? 4. Which manufacturer has the most number of vehicles? 5. How does price relate to rapid charging?

CONTENT: I've included two datasets below:

1. 'ElectricCarData_Clean.csv' -- original pulled data.

2. 'ElectricCarData_Norm.csv' -- units removed from each of the rows -- rapid charge has a binary yes/no value

The point of both is to have users practice some data cleaning.

CREDITS: There are two credits and sourcing that needs to be mentioned: 1. Datasource: ev-database.org/ 2.*Banner image*: freepik - author - 'macrovector'

UPDATES: There will be future updates when we can attain additional data.

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...

In 2023, Poland's number of battery-electric (BEV) cars in Poland reached nearly ******. It is expected that by 2030, their number will increase to *******. Electric cars in Poland Electric cars are gaining popularity, driven by growing climate awareness and, in part, by government subsidies. The electric vehicle market has seen significant growth recently. While only *** percent of newly registered vehicles in 2021 were electric, forecasts predict that by 2030, nearly one-fifth of all new registrations will be electric vehicles. German battery-electric vehicles were especially popular, with four of the five best-selling brands originating from Germany. However, the list was led by the American electric car manufacturer Tesla. Infrastructure for electric cars in Poland Many people considered the infrastructure for electric cars important, as they often had a relatively short range. The number of charging stations in Poland rose significantly between 2020 and 2023. Medium-speed charging stations increased from just over 1,000 in 2020 to ***** by 2023. In 2023, most stations and charging points were in the Mazowieckie voivodeship, followed by the Śląskie voivodeship.

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 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.

In 2024, ****** units of electric cars were sold in Indonesia, marking a sharp increase of over ** percent compared to the sales volume in the previous year. Since the government announced in 2022 that battery-based electric cars would be subsidized, EV sales have jumped significantly. This subsidy officially started in April 2023.

Introduction

Electric vehicles (EVs) have seen a remarkable evolution from their early innovations to their current status as a pivotal element in the transportation industry. This document explores the rich history of electric vehicles, focusing on their development through various periods, and provides an overview of the different types of EVs available today. Through data visualizations and analysis, we highlight global EV trends, the growth of EV sales, and the distribution of various powertrain types across regions.

The electric vehicle landscape has evolved significantly, influenced by technological advancements, environmental concerns, and shifting market dynamics. The modern resurgence of EVs reflects a growing recognition of their potential to reshape the transportation industry and drive towards a more sustainable future.

History of Electric Vehicles

The history of electric vehicles is marked by a series of innovations, declines, and revivals, spanning over a century. This section delves into the early history, the impact of the oil crises, and notable electric vehicles like the Sinclair C5.

Early History of Electric Vehicles

Late 19th Century - Early 20th Century

Origins:
Electric vehicles have their roots in the early 19th century. The first practical electric vehicle was built by Scottish inventor Robert Anderson between 1832 and 1839. This early electric carriage was powered by non-rechargeable batteries and laid the groundwork for future developments.

Early 20th Century Market Share:
By the early 1900s, electric vehicles, petrol-powered cars, and steam cars each held significant shares of the market. At this time, electric vehicles were favored for their quiet operation and ease of use compared to the noisy, cumbersome petrol cars.

In 1900, electric vehicles held about one-third of the automotive market. They were popular among urban drivers due to their reliability and the convenience of not requiring manual hand-cranking, as was needed for petrol vehicles.

Decline:
The decline of electric vehicles began with the rise of petrol-powered cars, facilitated by innovations such as the electric starter and mass production techniques introduced by Henry Ford. By the 1920s, the market for electric vehicles had diminished significantly as internal combustion engines became more widespread and infrastructure for petrol vehicles expanded.

The 1970s Oil Crisis and the Revival of Interest in EVs

Oil Crisis

The oil crises of the 1970s, including the 1973 Arab Oil Embargo and the 1979 energy crisis, renewed interest in alternative energy sources like electric vehicles. The sharp increase in oil prices and concerns about energy security highlighted the need for less oil-dependent transportation solutions.

During this period, there was a resurgence in the development of electric vehicles as a means to reduce reliance on fossil fuels and mitigate the impact of future oil shortages.

Early 1970s Efforts

Various automotive manufacturers and research institutions explored electric vehicles during this time. Despite the enthusiasm, many early attempts were constrained by the technology of the era, including limitations in battery performance and range.

Notable Vehicles and Innovations

Sinclair C5 (1985)

Overview:
The Sinclair C5, designed by Sir Clive Sinclair, was an electric vehicle launched in 1985. It was a small, three-wheeled vehicle intended for short trips and urban commuting. The C5 had a top speed of about 15 miles per hour and a range of 20-30 miles on a single charge.

Reception:
Despite its innovative concept, the Sinclair C5 faced criticism for its limited speed, range, and lack of weather protection. It was also deemed unsafe by some due to its low profile and exposure to road hazards. The vehicle was not commercially successful and was discontinued after a brief production period. Nonetheless, it remains an important historical reference in the development of electric vehicles.

Other Notable Early EVs

General Motors EV1 (1996-1999):
The GM EV1 was one of the first mass-produced electric cars of the modern era, introduced in the late 1990s. It was notable for its advanced technology and was designed specifically as an electric vehicle.

The EV1 was praised for its performance and efficiency but faced limitations due to high costs and lack of support infrastructure. GM eventually decided to discontinue the EV1 and retrieve most of the vehicles from customers.

Modern Resurgence

21st Century

The early 2000s marked a resurgence in electric vehicles, driven by advances in battery technology, increasing environmental concerns, and government incentives. Tesla Motors, founded in 2003, played a significant role in popularizing electric vehicles with models like the Tesla Roadster and Model S. Othe...

This statistic depicts the estimated number of electric cars expected to be registered in Italy in selected years from 2020 to 2030. According to data, the number was forecasted to raise considerably over the period of consideration, peaking by the end of 2030 at ******* units.

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 Vehicle Sales: ytd: Lucid data was reported at 5,766.000 Unit in Sep 2024. This records an increase from the previous number of 3,822.000 Unit for Jun 2024. Electric Vehicle Sales: ytd: Lucid data is updated quarterly, averaging 2,318.000 Unit from Dec 2021 (Median) to Sep 2024, with 12 observations. The data reached an all-time high of 5,940.000 Unit in Dec 2023 and a record low of 460.000 Unit in Mar 2022. Electric Vehicle Sales: ytd: Lucid data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA008: Electric Vehicle Sales: by Brand and Model: ytd.