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Key information about US Number of Registered Vehicles
Over the course of the 20th century, the number of operational motor vehicles in the United States grew significantly, from just 8,000 automobiles in the year 1900 to more than 183 million private and commercial vehicles in the late 1980s. Generally, the number of vehicles increased in each year, with the most notable exceptions during the Great Depression and Second World War.
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Total Vehicle Sales in the United States increased to 16.40 Million in September from 16.10 Million in August of 2025. This dataset provides the latest reported value for - United States Total Vehicle Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Car Production in the United States increased to 11.04 Million Units in August from 10.42 Million Units in July of 2025. This dataset provides - United States Car Production- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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The graph illustrates the number of registered cars in the United States from 1995 to 2023. The x-axis represents the years, spanning from 1995 to 2023, while the y-axis denotes the number of registered cars, ranging from 1,354 to 999,469. Throughout this period, the number of registered cars shows considerable fluctuations, with the highest count of 96,901,563 in 2022 and the lowest of 1,354 in 2006. Overall, there is a notable upward trend in car registrations over the years, despite intermittent decreases. The data is presented in a line graph format, effectively highlighting the annual changes and long-term growth in the number of registered vehicles in the United States.
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Key information about United States Motor Vehicle Production
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Key information about United States Motor Vehicle Sales: Passenger Cars
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Car Registrations in the United States increased to 241.10 Thousand in August from 221.50 Thousand in July of 2025. This dataset provides - United States Car Registrations - actual values, historical data, forecast, chart, statistics, economic calendar and news.
The U.S. auto industry sold nearly ************* cars in 2024. That year, total car and light truck sales were approximately ************ in the United States. U.S. vehicle sales peaked in 2016 at roughly ************ units. Pandemic impact The COVID-19 pandemic deeply impacted the U.S. automotive market, accelerating the global automotive semiconductor shortage and leading to a drop in demand during the first months of 2020. However, as demand rebounded, new vehicle supply could not keep up with the market. U.S. inventory-to-sales ratio dropped to its lowest point in February 2022, as Russia's war on Ukraine lead to gasoline price hikes. During that same period, inflation also impacted new and used car prices, pricing many U.S. consumers out of a market with increasingly lower car stocks. Focus on fuel economy The U.S. auto industry had one of its worst years in 1982 when customers were beginning to feel the effects of the 1973 oil crisis and the energy crisis of 1979. Since light trucks would often be considered less fuel-efficient, cars accounted for about ** percent of light vehicle sales back then. Thanks to improved fuel economy for light trucks and cheaper gas prices, this picture had completely changed in 2020. That year, prices for Brent oil dropped to just over ** U.S. dollars per barrel. The decline occurred in tandem with lower gasoline prices, which came to about **** U.S. dollars per gallon in 2020 - and cars only accounted for less than one-fourth of light vehicle sales that year. Four years on, prices are dropping again, after being the highest on record since 1990 in 2022.
Autos include all passenger cars, including station wagons. The U.S. Bureau of Economic Analysis releases auto and truck sales data, which are used in the preparation of estimates of personal consumption expenditures.
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Graph and download economic data for Automobile Registrations, Passenger Cars, Total for United States from 1895 to 1944 about car registrations, vehicles, and USA.
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A comprehensive, real-world–anchored synthetic dataset capturing 2,133 luxury beauty pop-up events across global retail hotspots. It focuses on limited-edition product drops, experiential formats, and performance KPIs—especially footfall and sell‑through. The data is designed for analytics use cases such as demand forecasting, footfall modeling, merchandising optimization, pricing analysis, and market expansion studies across regions and venue types.
Column | Type | Example | Description |
---|---|---|---|
event_id | string | POP100282 | Unique identifier for each pop‑up event. |
brand | string | Charlotte Tilbury | Luxury/premium cosmetics brand running the pop‑up. |
region | string | North America | Macro market region (North America, Europe, Middle East, Asia‑Pacific, Latin America). |
city | string | Miami | City of the event; occasionally null to simulate real‑world data gaps. |
location_type | string | Art/Design District | Venue archetype: High‑Street, Luxury Mall, Dept Store Atrium, Airport Duty‑Free, Art/Design District. |
event_type | string | Flash Event | Pop‑up format: Standalone, Shop‑in‑Shop, Mobile Truck, Flash Event, Mall Kiosk. |
start_date | date | 2024-02-25 | Event start date. |
end_date | date | 2024-03-02 | Event end date; can be null (e.g., ongoing/TBC) to reflect operational uncertainty. |
lease_length_days | integer | 6 | Duration of the activation (days), aligned with short‑term pop‑up leases. |
sku | string | LE-UQYNQA1A | Limited‑release product code tied to the event/dataset scope. |
product_name | string | Charlotte Tilbury Glow Mascara | Branded product listing (luxury‑oriented descriptors + category). |
price_usd | float | 62.21 | Ticket price (USD) aligned with luxury cosmetics price bands by category. |
avg_daily_footfall | integer | 1107 | Estimated average daily visitors based on venue, format, and activation intensity. |
units_sold | integer | 3056 | Total units sold during the event window; capped by allocation dynamics. |
sell_through_pct | float | 98.9 | Share of allocated inventory sold (%), proxy for demand strength and launch success. |
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Exports of Automotive Vehicles in the United States decreased to 12390 USD Million in February from 13547 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Exports of Automotive Vehicles.
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Welcome to the US English Language In-car Speech Dataset, a comprehensive collection of audio recordings designed to facilitate the development of speech recognition models specifically tailored for in-car environments. This dataset aims to support research and innovation in automotive speech technology, enabling seamless and robust voice interactions within vehicles for drivers and co-passengers.
This dataset comprises over 5,000 high-quality audio recordings collected from various in-car environments. These recordings include scripted wake words and command-type prompts.
Participant Diversity:
- Speakers: 50+ native English speakers from the FutureBeeAI Community.
- Regions: Ensures a balanced representation of United States of America1 accents, dialects, and demographics.
- Participant Profile: Participants range from 18 to 70 years old, representing both males and females in a 60:40 ratio, respectively.
Recording Nature: Scripted wake word and command type of audio recordings.
- Duration: Average duration of 5 to 20 seconds per audio recording.
- Formats: WAV format with mono channels, a bit depth of 16 bits. The dataset contains different data at 16kHz and 48kHz.
Apart from participant diversity, the dataset is diverse in terms of different wake words, voice commands, and recording environments.
Different Automobile Related Wake Words: Hey Mercedes, Hey BMW, Hey Porsche, Hey Volvo, Hey Audi, Hi Genesis, Hey Mini, Hey Toyota, Ok Ford, Hey Hyundai, Ok Honda, Hello Kia, Hey Dodge.
Different Cars: Data collection was carried out in different types and models of cars.
Different Types of Voice Commands:
- Navigational Voice Commands
- Mobile Control Voice Commands
- Car Control Voice Commands
- Multimedia & Entertainment Commands
- General, Question Answer, Search Commands
Recording Time: Participants recorded the given prompts at various times to make the dataset more diverse.
- Morning
- Afternoon
- Evening
Recording Environment: Various recording environments were captured to acquire more realistic data and to make the dataset inclusive of various types of noises. Some of the environment variables are as follows:
- Noise Level: Silent, Low Noise, Moderate Noise, High Noise
- Parking Location: Indoor, Outdoor
- Car Windows: Open, Closed
- Car AC: On, Off
- Car Engine: On, Off
- Car Movement: Stationary, Moving
The dataset provides comprehensive metadata for each audio recording and participant:
Participant Metadata: Unique identifier, age, gender, country, state, district, accent, and dialect.
Other Metadata: Recording transcript, recording environment, device details, sample rate, bit depth, file format, recording time.
This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the development of English voice assistant speech recognition models.
This US English In-car audio dataset is created by FutureBeeAI and is available for commercial use.
In 2023, California had the most automobile registrations: almost 13.2 million such vehicles were registered in the most populous U.S. federal state. California also had the highest number of registered motor vehicles overall: nearly 30.4 million registrations.
This dataset features over 1,000,000 high-quality images of cars, sourced globally from photographers, enthusiasts, and automotive content creators. Optimized for AI and machine learning applications, it provides richly annotated and visually diverse automotive imagery suitable for a wide array of use cases in mobility, computer vision, and retail.
Key Features: 1. Comprehensive Metadata: each image includes full EXIF data and detailed annotations such as car make, model, year, body type, view angle (front, rear, side, interior), and condition (e.g., showroom, on-road, vintage, damaged). Ideal for training in classification, detection, OCR for license plates, and damage assessment.
Unique Sourcing Capabilities: the dataset is built from images submitted through a proprietary gamified photography platform with auto-themed competitions. Custom datasets can be delivered within 72 hours targeting specific brands, regions, lighting conditions, or functional contexts (e.g., race cars, commercial vehicles, taxis).
Global Diversity: contributors from over 100 countries ensure broad coverage of car types, manufacturing regions, driving orientations, and environmental settings—from luxury sedans in urban Europe to pickups in rural America and tuk-tuks in Southeast Asia.
High-Quality Imagery: images range from standard to ultra-HD and include professional-grade automotive photography, dealership shots, roadside captures, and street-level scenes. A mix of static and dynamic compositions supports diverse model training.
Popularity Scores: each image includes a popularity score derived from GuruShots competition performance, offering valuable signals for consumer appeal, aesthetic evaluation, and trend modeling.
AI-Ready Design: this dataset is structured for use in applications like vehicle detection, make/model recognition, automated insurance assessment, smart parking systems, and visual search. It’s compatible with all major ML frameworks and edge-device deployments.
Licensing & Compliance: fully compliant with privacy and automotive content use standards, offering transparent and flexible licensing for commercial and academic use.
Use Cases: 1. Training AI for vehicle recognition in smart city, surveillance, and autonomous driving systems. 2. Powering car search engines, automotive e-commerce platforms, and dealership inventory tools. 3. Supporting damage detection, condition grading, and automated insurance workflows. 4. Enhancing mobility research, traffic analytics, and vision-based safety systems.
This dataset delivers a large-scale, high-fidelity foundation for AI innovation in transportation, automotive tech, and intelligent infrastructure. Custom dataset curation and region-specific filters are available. Contact us to learn more!
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Graph and download economic data for Passenger Cars Built for United States (A01154USA471NNBR) from 1880 to 1938 about vehicles, production, and USA.
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Exports of Vehicles, Passenger in the United States decreased to 13853.18 USD Million in February from 15140.44 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Exports of Vehicles, Passenger.
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Key information about United States Motor Vehicle Sales: Commercial Cars
In terms of monthly light vehicle sales in the United States, Toyota was the top brand in December 2023 with Ford and Chevrolet in second and third place. Customers in the U.S. bought nearly 182,500 Toyota-badged vehicles in December 2023. What was the effect of the pandemic on sales? U.S. vehicle sales tanked in March 2020 but bounced back soon thereafter. Due to the global chip shortage, sales fell again through 2021 and 2022. U.S. auto dealers sold around 1.27 million light vehicles in December 2022, an increase of 5.39 percent year-on-year. These figures can be seen as a consequence of the dwindling supply while automakers halted manufacturing due to a lack of semiconductors for vehicle production. Raw material price inflation and the cost of living crisis recorded in 2022 had also impacted the supply and demand for new vehicles. Pre-crisis plateau Slightly under 14.5 million light vehicles were sold to U.S. auto dealers in 2020. Retail sales are estimated to have slowly recovered in 2021, falling short of the 15 million mark. New sales of light vehicles remained relatively flat between 2017 and 2019 albeit on a high level. 2019 car and light truck retail sales of just under 17 million units put the industry’s new light retail sales figures 1.4 percent lower in 2019 than in 2018. It was particularly passenger cars that did not move off the shelves easily, as light truck sales reached a peak in 2019. Passenger cars now only represented less than one-third of all light vehicle sales in the U.S. While the market recovered through 2023, passenger cars remained the less popular alternative to the larger light trucks for U.S. consumers.
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Key information about US Number of Registered Vehicles