United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Model X data was reported at 3,843.000 Unit in Mar 2025. This records a decrease from the previous number of 19,855.000 Unit for Dec 2024. United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Model X data is updated quarterly, averaging 13,475.000 Unit from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 26,121.000 Unit in Dec 2022 and a record low of 3,843.000 Unit in Mar 2025. United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Model X 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.

United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Cybertruck data was reported at 6,406.000 Unit in Mar 2025. This records a decrease from the previous number of 38,965.000 Unit for Dec 2024. United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Cybertruck data is updated quarterly, averaging 11,558.000 Unit from Mar 2024 (Median) to Mar 2025, with 5 observations. The data reached an all-time high of 38,965.000 Unit in Dec 2024 and a record low of 2,803.000 Unit in Mar 2024. United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Cybertruck 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.

Tesla Inc.’s most recent quarterly vehicle production volume came to nearly ******* units. Tesla's production level in the first quarter of 2023 decreased by some **** percent quarter-on-quarter and by approximately **** percent year-on-year. Growth amid crisis It was anticipated that the coronavirus outbreak in China would affect the productivity of Tesla's Shanghai factory. However, Tesla's output reached almost ******* vehicles in the first two quarters of 2020. As the virus began to spread to the American continent, work at the U.S. factory in Fremont, California was stopped. The plant's reopening in May was met with criticism but contributed to the over ****** units that were produced in the second quarter of 2020. Tesla witnessed production growth in all subsequent quarters. The company's output level reached a new record in the fourth quarter of 2024. Leading the electric vehicle market Tesla produced over **** million vehicles in 2024, a *** percent decrease on the company's stellar 2023, which had been driven to a large extent by Model 3 and Model Y production and sales figures. The Tesla Model 3 was the world’s best-selling plug-in electric vehicle in 2020 and 2021. In 2024, it faced tough competition from other Tesla models, including the Model Y and the refreshed Model S Plaid, and came third in the bestseller ranking.

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.

Electric Vehicle Sales: Tesla: Tesla Model 3 data was reported at 52,520.000 Unit in Mar 2025. This records a decrease from the previous number of 57,928.000 Unit for Dec 2024. Electric Vehicle Sales: Tesla: Tesla Model 3 data is updated quarterly, averaging 53,251.000 Unit from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 58,423.000 Unit in Sep 2024 and a record low of 20,700.000 Unit in Mar 2021. Electric Vehicle Sales: Tesla: Tesla Model 3 data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA007: Electric Vehicle Sales: by Brand and Model.

Change-To-Liabilities Time Series for Tesla Inc. Tesla, Inc. designs, develops, manufactures, leases, and sells electric vehicles, and energy generation and storage systems in the United States, China, and internationally. The company operates in two segments, Automotive; and Energy Generation and Storage. The Automotive segment offers electric vehicles, as well as sells automotive regulatory credits; and non-warranty after-sales vehicle, used vehicles, body shop and parts, supercharging, retail merchandise, and vehicle insurance services. This segment also provides sedans and sport utility vehicles through direct and used vehicle sales, a network of Tesla Superchargers, and in-app upgrades; purchase financing and leasing services; services for electric vehicles through its company-owned service locations and Tesla mobile service technicians; and vehicle limited warranties and extended service plans. The Energy Generation and Storage segment engages in the design, manufacture, installation, sale, and leasing of solar energy generation and energy storage products, and related services to residential, commercial, and industrial customers and utilities through its website, stores, and galleries, as well as through a network of channel partners. This segment also provides services and repairs to its energy product customers, including under warranty; and various financing options to its residential customers. The company was formerly known as Tesla Motors, Inc. and changed its name to Tesla, Inc. in February 2017. Tesla, Inc. was incorporated in 2003 and is headquartered in Austin, Texas.

This dataset encompasses about 60 individual drives of a 2020 Tesla Model 3 with Autopilot in its relevant operational domain covering more than 1,000 miles. The majority of the data was collected during highway and suburban driving. Information collected includes vehicle CAN data as well as Lidar and camera data from a vehicle mounted sensor array. Vehicle CAN data and information on traffic surrounding the Ego-vehicle derived from the sensor array are postprocessed and merged to provide one combined CVS data file per drive.

Income-Before-Tax Time Series for Tesla Inc. Tesla, Inc. designs, develops, manufactures, leases, and sells electric vehicles, and energy generation and storage systems in the United States, China, and internationally. The company operates in two segments, Automotive; and Energy Generation and Storage. The Automotive segment offers electric vehicles, as well as sells automotive regulatory credits; and non-warranty after-sales vehicle, used vehicles, body shop and parts, supercharging, retail merchandise, and vehicle insurance services. This segment also provides sedans and sport utility vehicles through direct and used vehicle sales, a network of Tesla Superchargers, and in-app upgrades; purchase financing and leasing services; services for electric vehicles through its company-owned service locations and Tesla mobile service technicians; and vehicle limited warranties and extended service plans. The Energy Generation and Storage segment engages in the design, manufacture, installation, sale, and leasing of solar energy generation and energy storage products, and related services to residential, commercial, and industrial customers and utilities through its website, stores, and galleries, as well as through a network of channel partners. This segment also provides services and repairs to its energy product customers, including under warranty; and various financing options to its residential customers. The company was formerly known as Tesla Motors, Inc. and changed its name to Tesla, Inc. in February 2017. Tesla, Inc. was incorporated in 2003 and is headquartered in Austin, Texas.

Net-Income-Applicable-To-Common-Shares Time Series for Tesla Inc. Tesla, Inc. designs, develops, manufactures, leases, and sells electric vehicles, and energy generation and storage systems in the United States, China, and internationally. The company operates in two segments, Automotive; and Energy Generation and Storage. The Automotive segment offers electric vehicles, as well as sells automotive regulatory credits; and non-warranty after-sales vehicle, used vehicles, body shop and parts, supercharging, retail merchandise, and vehicle insurance services. This segment also provides sedans and sport utility vehicles through direct and used vehicle sales, a network of Tesla Superchargers, and in-app upgrades; purchase financing and leasing services; services for electric vehicles through its company-owned service locations and Tesla mobile service technicians; and vehicle limited warranties and extended service plans. The Energy Generation and Storage segment engages in the design, manufacture, installation, sale, and leasing of solar energy generation and energy storage products, and related services to residential, commercial, and industrial customers and utilities through its website, stores, and galleries, as well as through a network of channel partners. This segment also provides services and repairs to its energy product customers, including under warranty; and various financing options to its residential customers. The company was formerly known as Tesla Motors, Inc. and changed its name to Tesla, Inc. in February 2017. Tesla, Inc. was incorporated in 2003 and is headquartered in Austin, Texas.

In 2024, the auto industry in the United States sold approximately 15.9 million light vehicle units. This figure includes retail sales of about three million passenger cars and just under 12.9 million light trucks. Lower fuel consumption There are many kinds of light vehicles available in the United States. Light-duty vehicles are popular for their utility and improved fuel economy, making them an ideal choice for savvy consumers. As of Model Year 2023, the light vehicle manufacturer with the best overall miles per gallon was Kia, with one gallon of gas allowing for 30.4 miles on the road. Higher brand satisfaction When asked about light vehicle satisfaction, consumers in the United States were most satisfied with Toyota, Subaru, Tesla, and Mercedes-Benz models. Another survey conducted in 2018 and quizzing respondents on their stance regarding the leading car brands indicated that Lexus was among the most dependable brands based on the number of problems reported per 100 vehicles.

Electric Vehicle Sales: Tesla: Tesla Model S data was reported at 1,280.000 Unit in Mar 2025. This records a decrease from the previous number of 1,623.000 Unit for Dec 2024. Electric Vehicle Sales: Tesla: Tesla Model S data is updated quarterly, averaging 4,610.000 Unit from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 9,211.000 Unit in Dec 2022 and a record low of 1,280.000 Unit in Mar 2025. Electric Vehicle Sales: Tesla: Tesla Model S data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA007: Electric Vehicle Sales: by Brand and Model.

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.

Electric Vehicle Sales: Tesla: Tesla Model Y data was reported at 64,051.000 Unit in Mar 2025. This records a decrease from the previous number of 85,506.000 Unit for Dec 2024. Electric Vehicle Sales: Tesla: Tesla Model Y data is updated quarterly, averaging 71,358.000 Unit from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 105,158.000 Unit in Jun 2023 and a record low of 37,700.000 Unit in Mar 2021. Electric Vehicle Sales: Tesla: Tesla Model Y data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA007: Electric Vehicle Sales: by Brand and Model.

The Office of the Geographer’s Global Large Scale International Boundary Detailed Polygons file combines two datasets, the Office of the Geographer’s Large Scale International Boundary Lines and NGA shoreline data. The LSIB is believed to be the most accurate worldwide (non- W. Europe) international boundary vector line file available. The lines reflect U.S. government (USG) policy and thus not necessarily de facto control. The 1:250,000 scale World Vector Shoreline (WVS) coastline data was used in places and is generally shifted by several hundred meters to over a km. There are no restrictions on use of this public domain data. The Tesla Government PiX team performed topology checks and other GIS processing while merging data sets, created more accurate island shoreline in numerous cases, and worked closely with the US Dept. of State Office of the Geographer on quality control checks.

Methodology: Tesla Government’s Protected Internet Exchange (PiX) GIS team converted the LSIB linework and the island data provided by the State Department to polygons. The LSIB Admin 0 world polygons (Admin 0 polygons) were created by conflating the following datasets: Eurasia_Oceania_LSIB7a_gen_polygons, Africa_Americas_LSIB7a_gen_polygons, Africa_Americas_LSIB7a, Eurasia_LSIB7a, additional updates from LSIB8, WVS shoreline data, and other shoreline data from United States Government (USG) sources. The two simplified polygon shapefiles were merged, dissolved, and converted to lines to create a single global coastline dataset. The two detailed line shapefiles (Eurasia_LSIB7a and Africa_Americas_LSIB7a) were merged with each other and the coastlines to create an international boundary shapefile with coastlines. The dataset was reviewed for the following topological errors: must not self overlap, must not overlap, and must not have dangles. Once all topological errors were fixed, the lines were converted to polygons. Attribution was assigned by exploding the simplified polygons into multipart features, converting to centroids, and spatially joining with the newly created dataset. The polygons were then dissolved by country name. Another round of QC was performed on the dataset through the data reviewer tool to ensure that the conversion worked correctly. Additional errors identified during this process consisted of islands shifted from their true locations and not representing their true shape; these were adjusted using high resolution imagery whereupon a second round of QC was applied with SRTM digital elevation model data downloaded from USGS. The same procedure was performed for every individual island contained in the islands from other USG sources.
After the island dataset went through another round of QC, it was then merged with the Admin 0 polygon shapefile to form a comprehensive world dataset. The entire dataset was then evaluated, including for proper attribution for all of the islands, by the Office of the Geographer.

Sales of used light vehicles in the United States came to around **** million units in 2024. In the same period, approximately **** million new light trucks and automobiles were sold here. Declining availability of vehicles In the fourth quarter of 2024, about ***** million vehicles were in operation in the United States, an increase of around *** percent year-over-year. The rising demand for vehicles paired with an overall price inflation lead to a rise in new vehicle prices. In contrast, used vehicle prices slightly decreased. E-commerce: a solution for the bumpy road ahead? Financial reports have revealed how the outbreak of the coronavirus pandemic has triggered a shift in vehicle-buying behavior. With many consumer goods and services now bought online due to COVID-19, the automobile industry has also started to digitally integrate its services online to reach consumers with a preference for contactless test driving amid the global crisis. Several dealers and automobile companies had already begun to tap into online car sales before the pandemic, some of them being Carvana and Tesla.

Here we present a test-retest dataset of functional magnetic resonance imaging (fMRI) data acquired at rest. 22 participants were scanned during two sessions spaced one week apart. Each session includes two 1.5 mm isotropic whole-brain scans and one 0.75 mm isotropic scan of the prefrontal cortex, giving a total of six time-points. Additionally, the dataset includes measures of mood, sustained attention, blood pressure, respiration, pulse, and the content of self-generated thoughts (mind wandering). This data enables the investigation of sources of both intra- and inter-session variability not only limited to physiological changes, but also including alterations in cognitive and affective states, at high spatial resolution. The dataset is accompanied by a detailed experimental protocol and source code of all stimuli used.

Structural scan

For structural images a 3D MP2RAGE29 sequence was used: 3D-acquisition with field of view 224×224×168 mm3 (H-F; A-P; R-L), imaging matrix 320×320×240, 0.7 mm3 isotropic voxel size, Time of Repetition (TR)=5.0 s, Time of Echo (TE)=2.45 ms, Time of Inversion (TI) 1/2=0.9 s/2.75 s, Flip Angle (FA) 1/2=5°/3°, Bandwidth (BW)=250 Hz/Px, Partial Fourier 6/8, and GRAPPA acceleration with iPAT factor of 2 (24 reference lines).

Field map

For estimating B0 inhomogeneities, a 2D gradient echo sequence was used. It was acquired in axial orientation with field of view 192×192 mm2 (R-L; A-P), imaging matrix 64×64, 35 slices with 3.0 mm thickness, 3.0 mm3 isotropic voxel size, TR=1.5 s, TE1/2=6.00 ms/7.02 ms (which gives delta TE=1.02 ms), FA=72°, and BW=256 Hz/Px.

Whole-brain rs-fMRI

Whole-brain rs-fMRI scans were acquired using a 2D sequence. It used axial orientation, field of view 192×192 mm2 (R-L; A-P), imaging matrix 128×128, 70 slices with 1.5 mm thickness, 1.5 mm3 isotropic voxel size, TR=3.0 s, TE=17 ms, FA=70°, BW=1,116 Hz/Px, Partial Fourier 6/8, GRAPPA acceleration with iPAT factor of 3 (36 reference lines), and 300 repetitions resulting in 15 min of scanning time. Before the scan subjects were instructed to stay awake, keep their eyes open and focus on a cross. In order to avoid a pronounced g-factor penalty30 when using a 24 channel receive coil, the acceleration factor was kept at a maximum of 3, preventing the acquisition of whole-brain data sets at submillimeter resolution. However, as 7 T provides the necessary SNR for such high spatial resolutions a second experiment was performed with only partial brain coverage but with an 0.75 mm isotropic resolution.

Prefrontal cortex rs-fMRI

The submillimeter rs-fMRI scan was acquired with a zoomed EPI31 2D acquisition sequence. It was acquired in axial orientation with skewed saturation pulse32 suppressing signal from posterior part of the brain (see Figure 2). The position of the field of view was motivated by the involvement of medial prefrontal cortex in the default mode network and mindwandering33. This location can also improve our understanding of functional anatomy of the prefrontal cortex which is understudied in comparison to primary sensory cortices. Field of view was 150×45 mm2 (R-L; A-P), imaging matrix=200×60, 40 slices with 0.75 mm thickness, 0.75 mm3 isotropic voxel size, TR=4.0 s, TE=26 ms, FA=70°, BW=1,042 Hz/Px, Partial Fourier 6/8. A total of 150 repetitions were acquired resulting in 10 min of scanning time. Before the scan subjects were instructed to stay awake, keep their eyes open and focus on a cross.

Known issues

• sub-07 Session 1 & 2 Shimming window was offset causing minor signal deterioration. The same shimming window was used for both sessions.
• sub-08 Session 1 The lightbulb in the projector died during the first resting state scan. A projector from another scanner was used as a replacement. The replacement took approximately 30 min. The participant was in the scanner during this time.
• sub-11 Session 1 & 2 All whole-brain scans were accidentally acquired with voxel size 3 mm instead of 1.5 mm.
• sub-12 Session 1 & 2 Second fieldmap was run after second whole-brain not before, the same order was used for the second session.
• sub-13 Session 1 Second magnitude image of the first fieldmap was damaged during transfer from the scanner (one slice is missing). The phase image is intact so the fieldmap can still be reconstructed.
• sub-19 Session 1 Second physiological recording (corresponding to second whole-brain scan) was stopped before the scan finished, third physiological recording (corresponding to the prefrontal scan) was started after the scan started.

The dataset contains information about world's biggest companies.

Among them you can find companies founded in the US, the UK, Europe, Asia, South America, South Africa, Australia.

The dataset contains information about the year the company was founded, its' revenue and net income in years 2018 - 2020, and the industry.

I have included 2 csv files: the raw csv file if you want to practice cleaning the data, and the clean csv ready to be analyzed.

The third dataset includes the name of all the companies included in the previous datasets and 2 additional columns: number of employees and name of the founder.

In addition there's tesla.csv file containing shares prices for Tesla.

Modeled ground magnetic data was extracted from the Pan American Center for Earth and Environmental Studies database at http://irpsrvgis08.utep.edu/viewers/Flex/GravityMagnetic/GravityMagnetic_CyberShare/ on 2/29/2012. The downloaded text file was then imported into an Excel spreadsheet. This spreadsheet data was converted into an ESRI point shapefile in UTM Zone 13 NAD27 projection, showing location and magnetic field strength in nano-Teslas. This point shapefile was then interpolated to an ESRI grid using an inverse-distance weighting method, using ESRI Spatial Analyst. The grid was used to create a contour map of magnetic field strength.

United States Electric Vehicle Sales: Year to Date: Tesla data was reported at 128,100.000 Unit in Mar 2025. This records a decrease from the previous number of 633,762.000 Unit for Dec 2024. United States Electric Vehicle Sales: Year to Date: Tesla data is updated quarterly, averaging 304,451.000 Unit from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 671,616.000 Unit in Dec 2023 and a record low of 69,300.000 Unit in Mar 2021. United States Electric Vehicle Sales: Year to Date: Tesla 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.

Comprehensive dataset of 1 Tesla showrooms in Delaware, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.