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.
The Vehicle Inventory and Use Survey (VIUS) is conducted in partnership with the Bureau of Transportation Statistics, Federal Highway Administration, and the U.S. Department of Energy to better understand the characteristics and use of trucks on our nation's roads. The survey universe for the VIUS includes all private and commercial trucks registered (or licensed) in the United States. This includes: pickups; minivans, other light vans, and sport utility vehicles; other light single-unit trucks (GVW = 26,000 lbs.); and truck tractors. The VIUS sample excludes vehicles owned by federal, state, and local governments; ambulances; buses; motor homes; farm tractors; unpowered trailer units; and trucks reported to have been disposed of prior to January 1 of the survey year. VIUS provides data on the physical and operational characteristics of the nation's truck population. Its primary goal is to produce estimates of the total number of trucks and truck miles. This dataset provides national and state-level summary statistics for in-scope vehicles, excluding pickups, SUVs, minivans, and other light vans, that were used at least partially for commercial purposes.
For source data: https://data.census.gov/cedsci/table?tid=ACSDP5Y2021.DP04For more information about this dataset, please contact egis@isd.lacounty.gov
Some 283.4 million vehicles were registered in the United States in 2022. The figures include passenger cars, motorcycles, trucks, buses, and other vehicles. The number of light trucks sold in the U.S. stood at 10.9 million units in 2022. U.S. vehicle registrations The United States is one of the world’s largest automobile markets based on the number of new light vehicle registrations, with more than 13.8 million new light vehicle registrations in 2021. However, domestic production of automobiles fell to around 1.6 million units in 2021 and has struggled to increase in 2022. At the same time, the United States imports a significant number of vehicles from various countries, such as Japan, Mexico, and Canada. Leading car manufacturers in the United States The leading car manufacturers overall in the United States include the domestic heavyweights General Motors and Ford. With respect to car brands, the Ford brand clocked in at number one in 2022, selling around 1.8 million vehicles in the United States alone. The brand's holding company is the Ford Motor Company; it was founded by Henry Ford in 1903 in Dearborn, Michigan. The company pioneered in large-scale car manufacturing and introduced production methods such as the assembly line.
This layer shows household size by number of vehicles available. This is shown by tract, county, and state boundaries. 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 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.
Data files containing detailed information about vehicles in the UK are also available, including make and model data.
Some tables have been withdrawn and replaced. The table index for this statistical series has been updated to provide a full map between the old and new numbering systems used in this page.
Tables VEH0101 and VEH1104 have not yet been revised to include the recent changes to Large Goods Vehicles (LGV) and Heavy Goods Vehicles (HGV) definitions for data earlier than 2023 quarter 4. This will be amended as soon as possible.
Overview
VEH0101: https://assets.publishing.service.gov.uk/media/66f15b9b76558d051527abd7/veh0101.ods">Vehicles at the end of the quarter by licence status and body type: Great Britain and United Kingdom (ODS, 147 KB)
Detailed breakdowns
VEH0103: https://assets.publishing.service.gov.uk/media/66436667993111924d9d3426/veh0103.ods">Licensed vehicles at the end of the year by tax class: Great Britain and United Kingdom (ODS, 42.6 KB)
VEH0105: https://assets.publishing.service.gov.uk/media/66f15b9c34de29965b489bcd/veh0105.ods">Licensed vehicles at the end of the quarter by body type, fuel type, keepership (private and company) and upper and lower tier local authority: Great Britain and United Kingdom (ODS, 15.8 MB)
VEH0206: https://assets.publishing.service.gov.uk/media/664369fc4f29e1d07fadc707/veh0206.ods">Licensed cars at the end of the year by VED band and carbon dioxide (CO2) emissions: Great Britain and United Kingdom (ODS, 39.8 KB)
VEH0506: https://assets.publishing.service.gov.uk/media/6287bf83d3bf7f1f44695437/veh0506.ods">Licensed heavy goods vehicles at the end of the year by gross vehicle weight (tonnes): Great Britain and United Kingdom (ODS, 13.8 KB)
VEH0601: https://assets.publishing.service.gov.uk/media/66436cacae748c43d3793ad2/veh0601.ods">Licensed buses and coaches at the end of the year by body type detail: Great Britain and United Kingdom (ODS, 23.9 KB)
VEH1102: https://assets.publishing.service.gov.uk/media/66437bb9ae748c43d3793ae0/veh1102.ods">Licensed vehicles at the end of the year by body type and keepership (private and company): Great Britain and United Kingdom (ODS, 140 KB)
VEH1103: https://assets.publishing.service.gov.uk/media/66f15b9c76558d051527abda/veh1103.ods">Licensed vehicles
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Graph and download economic data for Expenditures: Vehicle Rental, Leases, Licenses, and Other Charges by Region: Residence in the Midwest Census Region (CXUVEHRNTLCLB1103M) from 1984 to 2023 about licenses, Midwest Census Region, leases, rent, vehicles, expenditures, residents, and USA.
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This web map contains layers that contain some of the more commonly used variables from the General Community Profile information from the Australian Bureau of Statistics 2021 census. Data is available for Country, Greater Capital City Statistical Area (GCCSA), Local Government Area (LGA), Statistical Area Level 1 (SA1) and 2 (SA2), and Suburb and Localities (SAL) boundaries.The General Community Profile contains a series of tables showing the characteristics of persons, families and dwellings in a selected geographic area. The data is based on place of usual residence (that is, where people usually live, rather than where they were counted on Census night). Community Profiles are excellent tools for researching, planning and analysing geographic areas for a number of social, economic and demographic characteristics.Download the data here.Data and Geography notes:View the Readme files located in the DataPacks and GeoPackages zip files.To access the 2021 DataPacks, visit https://www.abs.gov.au/census/find-census-data/datapacksGlossary terms and definitions of classifications can be found in the 2021 Census DictionaryMore information about Census data products is available at https://www.abs.gov.au/census/guide-census-data/about-census-tools/datapacksDetailed geography information: https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas: 2021 Statistical Area Level 1 (SA1), 2021 Statistical Area Level 2 (SA2), 2021 Greater Capital City Statistical Areas (GCCSA), 2021 Australia (AUS)https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures: 2021 Suburbs and Localities (SAL), 2021 Local Government Areas (LGA)Please note that there are data assumptions that should be considered when analysing the ABS Census data. These are detailed within the Census documents referenced above. These include:Registered Marital StatusIn December 2017, amendments to the Marriage Act 1961 came into effect enabling marriage equality for all couples. For 2021, registered marriages include all couples.Core Activity Need for AssistanceMeasures the number of people with a profound or severe core activity limitation. People with a profound or severe core activity limitation are those needing assistance in their day to day lives in one or more of the three core activity areas of self-care, mobility and communication because of a long-term health condition (lasting six months or more), a disability (lasting six months or more), or old age. Number of Motor VehiclesExcludes motorbikes, motor scooters and heavy vehicles.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.Source: Australian Bureau of Statistics
In the second quarter of 2024, there were around 291.1 million vehicles operating on roads throughout the United States. Almost 38.9 million used vehicles changed owners in the U.S. between the second quarter of 2023 and the second quarter of 2024, while new registrations of vehicles came to about 15.5 million units during that period. Automotive market disparities The number of licensed drivers had been steadily increasing up to just under 235,100 in 2022, but the automotive market has been impacted by economic developments over the past few years. The U.S. vehicle fleet is aging, reflected by the slow increase of the average vehicle age from 11.7 years in 2018 to over 12 years in 2023. This is in part due to market disparities. The average selling price of new vehicles has been increasing to over 47,000 U.S. dollars in 2023, up from under 35,000 in 2016. Used car prices have also been rising amidst the chip shortages linked to the COVID-19 pandemic, reaching around 29,300 U.S. dollars in 2023. The majority of U.S. car owners earned more than 40,000 U.S. dollars per years, with the 50,000 to 75,000 income group owning over 33 percent of the vehicles in use. The boom of the used vehicle market Close to three-quarter of new car buyers were born between 1946 and 1981, with Gen X being the leading consumers by age group for both the new and used vehicle market. Used light vehicle sales have been steadily increasing since 2010, representing well over double the size of the new light vehicle market in 2023. With a product range priced below new vehicle prices, used vehicles are gaining momentum in the United States. The average American household spends some 5,500 U.S. dollars on vehicle purchases annually, with consumers in income groups earning above 100,000 U.S. dollars per year spending above 7,200 dollars annually on car buying. Used vehicle financing options are naturally more affordable than new vehicle financing options, with an average monthly payment over 726 dollars for loan payments for new 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.
Commuting, travel time, occupied housing units by vehicle availability data reported by the US Census Bureau for North Carolina, counties, and municipalities.
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Graph and download economic data for Retail Sales: Retail Trade and Food Services, Excluding Motor Vehicle and Parts Dealers and Gasoline Stations (MRTSSM44W72USN) from Jan 1992 to Jan 2025 about dealers, parts, gas, trade, vehicles, retail trade, food, sales, retail, services, and USA.
This link contains data and visualizations to the total number of vehicles owned by households based off the household size.
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Release Date: 2023-09-28.Release Schedule:.The data in this file was released in September 2023...Key Table Information:.The estimates presented are based on data from the 2021 Vehicle Inventory and Use Survey (VIUS)..These estimates only cover vehicles registered during 2021 in one of the fifty United States (except New Hampshire) or the District of Columbia that are classified by vehicle manufacturers as trucks, minivans, vans, or sports utility vehicles. Additionally, vehicles owned by federal, state, and local governments, ambulances, buses, motor homes, farm tractors, unpowered trailer units, and any vehicle reported to have been disposed prior to January 1, 2021, are considered out of scope for the VIUS..Additionally, estimates on this table are restricted to in-scope vehicles other than pickups, minivans, sport utility vehicles, or light vans..Estimates may not be additive due to rounding..The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7527235, Disclosure Review Board (DRB) approval number: CBDRB-FY23-032)...Data Items and Other Identifying Records:.Primary characteristics that appear in this table:..Lease status.Number of gears.Braking system.Number of liftable axles.Plan to replace vehicle...Secondary characteristics that appear in this table:..Lease characteristics (under lease status).Lease length (under lease status).Lease provisions (under lease status).Location of liftable axles (under number of liftable axles).Number of braking axles (under number of liftable axles)...Estimates on this table:..Number of vehicles (thousands).Vehicle miles (millions).Average miles per vehicle (thousands).Coefficients of variation for all of the above estimates (percentages)...Data Item Notes:..Trailer Configuration.Estimates of 'Single Trailer Pulled', 'Double Trailer Pulled', 'Triple Trailer Pulled', and 'Trailer Pulled' exclude vehicles that pulled a trailer for less than half of all miles driven. Estimates of 'No Trailer Pulled or Vehicle Not Used' include vehicles that pulled a trailer for less than half of all miles driven..Lease Provisions.Detail lines do not add to total because multiple responses were possible..Plan to Replace Vehicle.Within 5 years with a vehicle of a different weight class or axle load....Geography Coverage:.On this table, geography refers to the address on a given vehicle's registration..Data are shown for the United States, 49 states (every state except New Hampshire), and the District of Columbia..Note that estimates at the 'United States' level also do not include vehicles with registration addresses in New Hampshire because the state did not consent to sharing registrant data for this survey. See https://www.census.gov/programs-surveys/vius/data.html for model-based estimates at the United States level that do include New Hampshire...Industry Coverage:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/vius/data/2021/VIUS211B.zip..API Information:.Vehicle Inventory and Use Survey data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2021/viusb.html..Methodology:.Estimates are based on a sample of in-scope vehicles and are subject to both sampling and nonsampling error. Estimated measures of sampling variability are provided in the tables. For information on sampling or nonsampling error and other design and methodological details, see Vehicle Inventory and Use Survey (VIUS): Technical Documentation: Vehicle Inventory and Use Survey Methodology...Symbols:.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see Vehicle Inventory and Use Survey (VIUS): Technical Documentation: Vehicle Inventory and Use Survey Methodology..Z - Rounds to Zero..X - Not Applicable..For a complete list of all economic programs symbols, see Economic Census: Technical Documentation: Data Dictionary...Source:.Suggested Citation: U.S. Department of Transportation, Bureau of Transportation Statistics; and, U.S. Department of Commerce, U.S. Census Bureau. (9/28/23). All Vehicles Except Pickups, SUVs, Light Vans, by Registration State, Vehicle Type, and Trailer Configuration: 2021 [VIUSB2021]. 2021 Vehicle Inventory and Use Survey. U.S. Department of Transportation, Bureau of Transportation Statistics; U.S. Department of Commerce, U.S. Census Bureau; U.S. Department of Transportation, Federal Highway Administration; U.S. Department of Energy. Accessed [enter date you accessed/downloaded this table here] from [enter URL of the table page here]...For information abo...
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Release Date: 2023-09-28.Release Schedule:.The data in this file was released in September 2023...Key Table Information:.The estimates presented are based on data from the 2021 Vehicle Inventory and Use Survey (VIUS)..These estimates only cover vehicles registered during 2021 in one of the fifty United States (except New Hampshire) or the District of Columbia that are classified by vehicle manufacturers as trucks, minivans, vans, or sport utility vehicles. Additionally, vehicles owned by federal, state, and local governments, ambulances, buses, motor homes, farm tractors, unpowered trailer units, and any vehicle reported to have been disposed prior to January 1, 2021, are considered out of scope for the VIUS..There are no additional scope conditions for the estimates on this table..Estimates may not be additive due to rounding..The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7527235, Disclosure Review Board (DRB) approval number: CBDRB-FY23-032)...Data Items and Other Identifying Records:.Primary characteristics that appear in this table:..Body/Trailer type.Model year.Transmission.Cylinders.Towing capacity.Months operated.Vehicle Acquisition.Lease status.Driving axles.Cab height.Vehicle type and trailer configuration...Secondary characteristics that appear in this table:.Standard features (under body/trailer type).Fuel economy features (under body/trailer type).Driving control assistance features (under body/trailer type).Collision warning features (under body/trailer type).Collision intervention features (under body/trailer type).Parking assistance features (under body/trailer type).Other driver assistance systems features (under body/trailer type).Other features (under body/trailer type).Primary axle configuration (under vehicle type and trailer configuration)...Estimates on this table:.Number of vehicles (thousands).Vehicle miles (millions).Average miles per vehicle (thousands).Coefficients of variation for all of the above estimates (percentages)...Data Item Notes:..Vehicle Type and Trailer Configuration.Estimates of 'Truck Tractor, Single Trailer Pulled', 'Truck Tractor, Double Trailer Pulled', 'Truck Tractor, Triple Trailer Pulled', and 'Single Unit Truck, Trailer Pulled' exclude vehicles that pulled a trailer for less than half of all miles driven. Estimates of 'Any Vehicle Type, No Trailer Pulled or Vehicle Not in Use' include vehicles that pulled a trailer for less than half of all miles driven..Model Year, Cylinders.Data were derived from administrative records....Geography Coverage:.On this table, geography refers to the address on a given vehicle's registration..Data are shown for the United States, 49 states (every state except New Hampshire), and the District of Columbia..Note that estimates at the 'United States' level also do not include vehicles with registration addresses in New Hampshire because the state did not consent to sharing registrant data for this survey. See https://www.census.gov/programs-surveys/vius/data.html for model-based estimates at the United States level that do include New Hampshire...Industry Coverage:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/vius/data/2021/VIUS213A.zip..API Information:.Vehicle Inventory and Use Survey data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2021/viusa.html..Methodology:.Estimates are based on a sample of in-scope vehicles and are subject to both sampling and nonsampling error. Estimated measures of sampling variability are provided in the tables. For information on sampling or nonsampling error and other design and methodological details, see Vehicle Inventory and Use Survey (VIUS): Technical Documentation: Vehicle Inventory and Use Survey Methodology...Symbols:.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see Vehicle Inventory and Use Survey (VIUS): Technical Documentation: Vehicle Inventory and Use Survey Methodology..Z - Rounds to Zero..X - Not Applicable..For a complete list of all economic programs symbols, see Economic Census: Technical Documentation: Data Dictionary...Source:.Suggested Citation: U.S. Department of Transportation, Bureau of Transportation Statistics; and, U.S. Department of Commerce, U.S. Census Bureau. (9/28/23). All Vehicles by Registration State and Vehicle Size: 2021 [VIUSA2021]. 2021 Vehicle Inventory and Use Survey. U.S. Department of Transportation, Bureau of Transportation Statistics; U.S. Department of Commerce, U.S. Census Bureau; U.S. Depar...
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Graph and download economic data for Retail Sales: Motor Vehicle and Parts Dealers (MRTSSM441USN) from Jan 1992 to Jan 2025 about dealers, parts, vehicles, retail trade, sales, retail, and USA.
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.
The Massachusetts Vehicle Census Annual Zip Code dataset contains annualized aggregations for annual VMT (Vehicle Miles Travelled) grouped by postal Zip Code, municipality, and vehicle attribute. The dataset uses excise tax data and annual vehicle inspection odometer readings as data inputs. Annual VMT is calculated by a vehicle's estimated daily mileage multiplied by the amount of days a vehicle is actively registered in its corresponding Zip Code.
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Graph and download economic data for Advance Retail Sales: Motor Vehicle and Parts Dealers (MARTSMPCSM441USN) from Feb 1992 to Feb 2025 about dealers, parts, vehicles, retail trade, percent, sales, retail, and USA.
On average, there are 1.88 vehicles per U.S. household. According to the U.S. Department of Transportation, the percentage of households without a car or light truck came to around nine percent in 2017, meaning that about 90 percent of households had at least one light vehicle at their disposal in that same year.
Most Americans drive daily
In a recent Gallup poll among U.S. adults, about 64 percent of respondents claimed to drive daily, while another 19 percent of respondents stated that they would use a motor vehicle multiple times in an average week. These figures are in line with the U.S. motorization rate, which stood at 821 vehicles per 1,000 inhabitants in 2015.
These streets were made for driving
The United States has the most extensive road network, compared to any other country in the world: its road network encompasses almost 6.6 million kilometers or about four million miles. In 2018, there were about 270 million vehicles roaming the streets of the country.
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.