This layer shows household size by number of vehicles available. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the count and percentage of households with no vehicle available. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B08201 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

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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US Used Car Market Size 2025-2029

The US used car market size is forecast to increase by USD 40.2 billion, at a CAGR of 4.3% between 2024 and 2029.

The used car market in the US is witnessing significant growth, driven by the excellent value proposition that used cars offer to consumers. The increasing popularity of websites dedicated to selling used cars has expanded market reach and convenience, allowing consumers to browse and purchase vehicles online. Stringent emission regulations are restricting the sales of non-compliant used cars, necessitating investments in upgrading and maintaining commercial vehicle fleets to meet regulatory requirements. These regulations necessitate investments in emission testing and certification processes, increasing operational costs for dealers. To capitalize on opportunities, dealers can focus on offering certified pre-owned vehicles and implementing robust emission testing procedures.
Additionally, leveraging digital marketing strategies and offering flexible financing options can help attract and retain customers. Overall, the used car market presents both challenges and opportunities for players, requiring strategic planning and innovation to succeed.

What will be the size of the US Used Car Market during the forecast period?

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The used car market in the US continues to evolve, with various sectors adapting to emerging trends and technologies. Vehicle data analysis plays a pivotal role in understanding vehicle depreciation curves and return on investment for dealers. Payment processing systems streamline sales transactions, while sales performance metrics and customer lifetime value inform strategic decision-making. Fraud detection systems ensure compliance with legal standards, and insurance cost factors influence acquisition channel efficiency. Inventory turnover rate, a key performance indicator, varies across dealerships. Compliance audits and dealer training programs maintain legal compliance and improve customer satisfaction. Market penetration rate and resale value prediction help dealers optimize pricing models.
Consumer protection laws and financing product offerings shape customer trust and loyalty. Operating costs analysis, customer service feedback, and sales conversion rates contribute to profit margin calculation. Risk assessment models, employee performance metrics, marketing spend efficiency, and pricing model validation are essential for long-term success. A recent study reveals a 5% increase in sales for dealerships implementing advanced data analytics. Industry growth is expected to reach 3% annually, driven by these evolving market dynamics.

How is this market segmented?

The US used car market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Distribution Channel

  3P channel sales
  OEM channel sales


Product

  Mid size
  Full size
  Compact size


Vendor Type

  Organized
  Unorganized


Fuel Type

  Diesel
  Petrol


Geography

  North America

    US

By Distribution Channel Insights

The 3P channel sales segment is estimated to witness significant growth during the forecast period.

The used car market in the US is an active and dynamic sector, driven by various factors. With the constant launch of new vehicle models, the supply of used cars increases, resulting in lower prices compared to new cars. This trend encourages car owners to sell their vehicles and upgrade to newer models, shortening the average ownership cycle. Online advertising platforms play a significant role in connecting buyers and sellers. Pre-purchase inspections and vehicle history reports ensure transparency and build trust. Repairs cost estimation and parts sourcing networks help in managing the expenses of used car ownership. Market segmentation strategies cater to different customer needs, while customer relationship management tools foster loyalty.

Emissions testing standards ensure the environmental sustainability of used vehicles. Auto appraisal value tools help in determining fair prices, and loan term comparison aids in financing decisions. Marketing campaign effectiveness is measured through customer acquisition cost and interest rate calculation. Mobile apps offer functionalities like mechanical inspection checklists, paint depth measurement, and damage assessment tools. Dealer inventory management, detailing services, and vehicle photography techniques enhance the sales process. Industry growth is expected to continue, with the used car market projected to expand by 3% annually. For instance, a dealership successfully increased its sales by 15% thr

The percentage of households that do not have a personal vehicle available for use out of all households in an area. Source: American Community Survey Years Available: 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022, 2019-2023

The graph displays the number of retail car sales in the United States from 1976 to 2025. The x-axis represents the years, ranging from 1976 to 2025, while the y-axis indicates the number of cars sold, spanning from 10,357,300 to 17,477,300. Throughout this period, car sales exhibit significant fluctuations, with the highest sales of 17,477,300 units occurring in 2016 and the lowest of 10,357,300 units in 1982. Overall, the data reveals an upward trend in retail car sales over the decades, despite occasional declines during certain years. The information is presented in a line graph format, effectively highlighting the annual variations and long-term growth in car sales within the United States.

Graph and download economic data for Expenditures: Vehicle Purchases: Cars and Trucks, Used by Deciles of Income Before Taxes: Highest 10 Percent (91st to 100th Percentile) (CXUUSEDCARSLB1511M) from 2014 to 2023 about used, purchase, trucks, percentile, tax, vehicles, expenditures, income, and USA.

Key information about US Number of Registered Vehicles

• US Number of Registered Vehicles was reported at 283,400,986 Unit in Dec 2022.
• This records an increase from the previous number of 282,354,993 Unit for Dec 2021.
• US Number of Registered Vehicles data is updated yearly, averaging 93,949,852 Unit from Dec 1910 to 2022, with 113 observations.
• The data reached an all-time high of 283,400,986 Unit in 2022 and a record low of 468,500 Unit in 1910.
• US Number of Registered Vehicles data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: No of Registered Vehicles: Annual.

This dataset displays all the smart car Dealer Locations throughout the USA as of 6.2008. The information includes; Dealer Name, Dealer Location, Dealer Phone, Dealer Website. The data comes from the website of smartUSA at smartusa.com and the lat/lons were obtained by geocoding the location's street address.

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The online car buying market share is expected to increase by USD 214.41 million from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 12.4%.

This online car buying market research report provides valuable insights into the post-COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers the online car buying market segmentations by Class Type (pre-owned and new vehicle) and Geography (North America, Europe, APAC, South America, and Middle East and Africa). The online car buying market report also offers information on several market vendors, including American City Business Journals Inc., Asbury Automotive Group Inc., AutoNation Inc., CarGurus Inc., CarMax Inc., Cars & Bids LLC, Cars.com Inc., Cars24 Services Pvt. Ltd., CarSoup of Minnesota Inc., Carvago, Carvana Co., Cox Enterprises Inc., eBay Inc., Edmunds.com Inc., Hendrick Automotive Group, Lithia Motors Inc., MH Sub I LLC, Miami Lakes Automall, and TrueCar Inc., among others.

What will the Online Car Buying Market Size be During the Forecast Period?

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Online Car Buying Market: Key Drivers, Trends, and Challenges

The research studied the historical data considered for years, with 2021 as the base year and 2022 as the estimated year, and produced drivers, trends, and challenges for the global online car buying market.

Key Online Car Buying Market Driver

The increasing adoption of e-commerce and technological advancements in online channels are key factors driving the global online car buying market growth. Technological advancements such as the development of smartphones and rising Internet penetration are spurring the use of e-commerce applications to boost the sales of businesses, while the introduction of hybrid and electric vehicles has changed the buyers' position in the global online car buying market. With the aid of online technology, consumers are learning more about the vehicle, the on-road prices of new automobiles, residual value, third-party profit margins, and other factors for used cars. Additionally, growing urbanization, an increase in Internet connectivity, and the growth of the telecom industry have made it possible for the general public to access information much more easily. Online car dealers are increasingly using these factors to advertise their vehicles and disseminate information about them. The sale process has been streamlined on web platforms, which also makes it possible for more stakeholders to sell and acquire used cars. Thus, the growing e-commerce industry and the increasing adoption of technological advancements by vendors will propel the growth of the global online car buying market during the forecast period.

Key Online Car Buying Market Trend

Easy online financing will fuel the global online car buying market growth. Financing options are widely available on many car-buying websites, which encourages customers to get preapproval for loans before they even start looking for cars on their websites. According to a survey, 71% of customers choose to finance through the site where they purchased their car. These customers are highly satisfied with the financing options available on car-buying websites. Hassle-free loan applications and favorable interest rates attract more customers to opt for online financing options. For instance, AutoNation Inc. provides hassle-free auto financing options for every customer according to his or her needs and requirements. The company offers a wide range of finance programs that makes auto financing simple and clear. To provide a variety of financing and leasing alternatives, AutoNation has partnered with hundreds of banks in the US. Owing to such easy financing options, customers are attracted to online car-buying options. Thus, the availability of hassle-free and paperless online auto finance provided by car-buying websites will fuel the growth of the global online car buying market during the forecast period.

Key Online Car Buying Market Challenge

Limited customer awareness and acceptance in semi-urban and rural areas are the major challenges to the global online car buying market growth. Buying a car online is still an urban concept despite its prevalence and its numerous advantages. The acceptance of buying a car through online channels is low in semi-urban and rural areas. Buying cars online has not penetrated a large portion of the population, particularly in developing countries such as India. In emerging economies, including India, China, and Indonesia, a car is considered a status symbol. Thus, customers in such countries generally prefer to buy a car through physical stores where they can physically inspect the features of the car. For the middle-class population, buying a car is a major in

Daily vehicle miles traveled (VMT) is a distance- and volume-based measure of driving on roadways for all motorized vehicle types—car, bus, motorcycle, and truck—on an average day. Per capita VMT is the same measure divided by the same area's population for the same year. Per vehicle VMT divides VMT by the number of household vehicles available by residents of that geography in the same year. These three value types can be selected in the dropdown in the first chart below. Use the legend items to explore various geographies. The second chart below shows per capita and total personal vehicles available to the region’s households from the American Community Survey.

Normalizing VMT by a county or region's population, or household vehicles, is helpful for context, but does not have complete parity with what is measured in VMT estimates. People and vehicles come into the region from other places, just as people and vehicles leave the region to visit other places. VMT per capita compares all miles traveled on the region's roads to the region's population (for all ages) from the U.S. Census Bureau's latest population estimates. Vehicle counts for VMT are classified by vehicle types, but not by vehicle ownership. In 2017, statewide estimates for VMT by motorcycles, passenger cars, and two-axle single-unit trucks with four wheels made up 88% of Pennsylvania's VMT, and 95% of New Jersey's. These vehicle types are highly likely to be personal vehicles, owned by households, but a small percent could be fleet vehicles of companies or governments. The remaining VMT is made up of vehicle types like school and commercial buses and trucks with more than two axles so they are highly likely to be commercial vehicles.

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Used Car Market Size 2025-2029

The used car market size is valued to increase by USD 885.3 billion, at a CAGR of 7.4% from 2024 to 2029. Increasing number of new models of cars launched due to high competition will drive the used car market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 41% growth during the forecast period.
By Vehicle Type - Compact segment was valued at USD 856.10 billion in 2023
By Channel - Organized segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 67.95 billion
Market Future Opportunities: USD 885.30 billion
CAGR from 2024 to 2029 : 7.4%

Market Summary

The market, a significant and dynamic sector of the global automotive industry, experienced a record-breaking year in 2021. According to the International Organization of Motor Vehicle Manufacturers, approximately 35 million used cars were sold worldwide, marking a 5% increase compared to the previous year. This growth can be attributed to several key drivers. First, the increasing number of new models launching due to heightened competition has led to a larger supply of used cars. Moreover, the growing demand for car subscription services and car-sharing platforms has created new opportunities for consumers to access affordable, flexible transportation solutions. The market's evolution has been shaped by various trends and challenges.
Technological advancements, such as the integration of electric and autonomous vehicle technologies, have transformed the market landscape. Additionally, changing consumer preferences, including a focus on sustainability and cost savings, have influenced market dynamics. Looking ahead, the market is expected to continue its growth trajectory. As the global population becomes increasingly urbanized and transportation needs become more diverse, the demand for used cars is likely to increase. Furthermore, the ongoing digitalization of the automotive industry will create new opportunities for innovation and disruption. In conclusion, the market is a vital and evolving sector that offers significant opportunities for businesses.
Its growth is driven by factors such as increased competition, the rise of car subscription services, and changing consumer preferences. As the market continues to adapt to technological advancements and shifting trends, it will remain a dynamic and exciting space for innovation and growth.

What will be the Size of the Used Car Market during the forecast period?

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How is the Used Car Market Segmented ?

The used car industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Vehicle Type

  Compact
  SUV
  Mid size


Channel

  Organized
  Unorganized


Fuel Type

  Diesel
  Petrol


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Vehicle Type Insights

The compact segment is estimated to witness significant growth during the forecast period.

The market continues to evolve, with the compact segment experiencing significant growth in APAC and Europe. This class of vehicles, positioned between subcompact and mid-size cars, gains popularity due to increasing consumer demand for personal mobility and more efficient, eco-friendly options. In densely populated regions, compact cars offer easier handling and lower emissions, contributing to a 50% market share in some regions. Popular pre-owned models like the Fiat Panda and Volkswagen Golf in Europe undergo rigorous pre-sale inspections, including body damage assessment, suspension component inspection, and mileage verification methods. Refurbishment techniques, such as automotive diagnostic tools and mechanical inspection procedures, ensure optimal engine performance and safety.

Consumer review aggregation and title verification services provide transparency, while repair cost estimation and parts replacement costs inform potential buyers. Fuel efficiency ratings, detailing services, and pre-purchase inspection checklists further enhance the buying experience. Online vehicle marketplaces employ pricing algorithms, vehicle financing options, and auction platform data to facilitate sales. Electrical system testing, maintenance record analysis, and emissions testing standards ensure transparency and safety. Safety recall checks, brake system evaluation, and fluid level checks complete the comprehensive assessment process.

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The Compact segment was valued at USD 856.10 billion in 2019 and showed a gradual increase dur

This layer contains 2010-2014 American Community Survey (ACS) 5-year data, and contains estimates and margins of error. The layer shows household size by number of vehicles available. This is shown by tract, county, and state boundaries. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of households with no vehicle available. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Vintage: 2010-2014ACS Table(s): B08201 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: November 11, 2020National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer has associated layers containing the most recent ACS data available by the U.S. Census Bureau. Click here to learn more about ACS data releases and click here for the associated boundaries layer. The reason this data is 5+ years different from the most recent vintage is due to the overlapping of survey years. It is recommended by the U.S. Census Bureau to compare non-overlapping datasets.Boundaries come from the US Census TIGER geodatabases. Boundary vintage (2014) appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Graph and download economic data for Consumer Unit Characteristics: At Least One Vehicle Owned or Leased by Composition of Consumer Unit: One Parent, at Least One Child Under 18 (CXU980350LB0609M) from 1984 to 2023 about parent, owned, consumer unit, leases, child, vehicles, percent, and USA.

2013-2023 Virginia Non-Single Occupancy Vehicle (SOV) Travel Percent by Census Urban Area. Contains estimates. Workers 16 years and over, commuting to work, who are NOT using a car, truck, or van when driving alone.

U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table DP03, Column DP03_0019PE Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)

Documentation of the method to calculate Non-SOV is provided by the Federal Highway Administration (https://www.fhwa.dot.gov/tpm/guidance/hif18024.pdf) page 38 explains the calculation of the Non-SOV Travel measure.

Urban areas with values of -666,666,666 or 0 have blanks calculated for Non-SOV values.

The United States Census Bureau's American Community Survey (ACS): -What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html) -Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html) -Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.

Graph and download economic data for Consumer Unit Characteristics: At Least One Vehicle Owned or Leased by Age: from Age 25 to 34 (CXU980350LB0403M) from 1984 to 2020 about consumer unit, age, owned, leases, 25 years +, vehicles, percent, and USA.

Graph and download economic data for Consumer Unit Characteristics: At Least One Vehicle Owned or Leased by Race: White, Asian, and All Other Races, Not Including Black or African American (CXU980350LB0902M) from 1984 to 2023 about asian, consumer unit, owned, white, leases, vehicles, percent, and USA.

This table contains data on the percent of residents aged 16 years and older mode of transportation to work for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Census Bureau, Decennial Census and American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Commute trips to work represent 19% of travel miles in the United States. The predominant mode – the automobile - offers extraordinary personal mobility and independence, but it is also associated with health hazards, such as air pollution, motor vehicle crashes, pedestrian injuries and fatalities, and sedentary lifestyles. Automobile commuting has been linked to stress-related health problems. Active modes of transport – bicycling and walking alone and in combination with public transit – offer opportunities for physical activity, which is associated with lowering rates of heart disease and stroke, diabetes, colon and breast cancer, dementia and depression. Risk of injury and death in collisions are higher in urban areas with more concentrated vehicle and pedestrian activity. Bus and rail passengers have a lower risk of injury in collisions than motorcyclists, pedestrians, and bicyclists. Minority communities bear a disproportionate share of pedestrian-car fatalities; Native American male pedestrians experience four times the death rate Whites or Asian pedestrians, and African-Americans and Latinos experience twice the rate as Whites or Asians. More information about the data table and a data dictionary can be found in the About/Attachments section.

Graph and download economic data for Consumer Unit Characteristics: At Least One Vehicle Owned or Leased by Deciles of Income Before Taxes: Second 10 Percent (11st to 20th Percentile) (CXU980350LB1503M) from 2014 to 2023 about owned, consumer unit, leases, percentile, tax, vehicles, percent, income, and USA.

This table contains values from Compare.com's proprietary database of car insurance quotes about average DynamicTable.dataset.coverage.monthly_cost_total car insurance costs DynamicTable.dataset.source.stateAvgPrices

Used Car Prices YoY in the United States decreased to 1.70 percent in August from 2.90 percent in July of 2025. This dataset includes a chart with historical data for the United States Used Car Prices YoY.