The timeline shows the private and commercial non highway use of gasoline in the United States from 1992 to 2015. In 2015, the private and commercial non highway use of gasoline increased to 8.93 billion gallons in the United States.

This layer contains traffic statistics collected or obtained by the Transportation Monitoring Unit and developed and analyzed by the Traffic Analysis section of the Technology & Innovation Division at the Utah Department of Transportation. These statistics are intended for transportation management, private businesses, and public use. The traffic information is used in planning, programming, highway design, maintenance, traffic control, and general administration of highway systems.The traffic information contained represents the Annual Average Daily Traffic (AADT) on road sections of State Highway and Federal-Aided roads. These statistics are developed by the Traffic Analysis section through the use of the following count site types:1. Continuous Count Stations (CCS) provided by the Utah Department of Transportation. A statewide system of permanent vehicle count stations that collect volume, vehicle classification (length), and speed, 24 hours per day, 365 days per year.2. Short-term counts administered by the Utah Department of Transportation, each traffic section is generally counted about every 3 years for a duration of 48 hours, and seasonally factored using factors created by CCS stations.AADT represents traffic for both directions of travel. The routes are sectioned according to:a. Major intersectionsb. Sections where traffic volumes show a significant difference in AADT. Generally 20% under 5,000 AADT to 5% for over 50,000 AADT.Truck Statistics are available for State routes only. Single-Unit Truck (FHWA Vehicle Axle Classifications 4-7), and Combination Unit Trucks (FHWA Vehicle Axle Classifications 8-13). The values are represented by a percentage of the AADT reported for the same year.Example: A roadway with 1000 AADT has 0.1500 SUTRK reported, is 15% of the AADT are Single-Unit Trucks (or 150 SUTRK AADT).For AADT reported as Rounded, reports and maps use the AASHTO recommendation as follows:AADT = 0 - 999: Round to the nearest 10thAADT = 1,000 - 9,999: Round to the nearest 100thAADT >= 10,000: Round to the nearest 1000thNOTE: If a statistical calculation is needed to be applied to the AADT, (such as when calculating Vehicle Miles Traveled), it is not recommended to use rounded AADT’s. Unrounded AADT’s and truck percentages for are available at UDOT's Open Data Portal for download.This service is specially configured for use with UDOT's Open Data Portal. Please see the Data Assessment Form for more information. To download either the Rounded or Unrounded AADT for this data please visit the UDOT Open Data Portal and download the available Shapefile and CSV's.

In the fourth quarter of 2024, there were around ***** million vehicles operating on roads throughout the United States. Almost **** million used vehicles changed owners in the U.S. between the fourth quarter of 2023 and the fourth quarter of 2024, while new registrations of vehicles came to about **** million units during that period. Automotive market disparities The number of licensed drivers had been steadily increasing up to just under ******* in 2023, 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 in the average vehicle age from **** years in 2018 to over ** years in 2024. This is in part due to market disparities. The average selling price of new vehicles has been increasing to nearly ****** U.S. dollars in 2024, up from under ****** in 2016. Used car prices have been declining after the chip shortages linked to the COVID-19 pandemic, reaching around ****** U.S. dollars in 2024. The majority of U.S. car owners earned more than ****** U.S. dollars per years, with the ****** to ****** income group owning over ** percent of the vehicles in use. The boom of the used vehicle market Close to ************* 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 2024. With a product range priced below new vehicle prices, used vehicles are gaining momentum in the United States. The average American household spends some ***** U.S. dollars on vehicle purchases annually, with consumers in income groups earning above 100,000 U.S. dollars per year spending above ***** dollars annually on car buying. Used vehicle financing options are naturally more affordable than new vehicle financing options, with an average monthly payment over *** dollars for loan payments for new vehicles.

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 that were in use.

Maryland Annual Average Daily Traffic (AADT) Points data consists of point geometric features which represent traffic count locations along public roadways in the State of Maryland. Traffic counts are performed in order to calculate the annual average daily traffic (AADT), annual average weekday traffic (AAWDT), and AADT based on vehicle class (current year only) for locations along public roadways in the State of Maryland. Overall percent utilization, percent utilization based on vehicle class, and truck-specific percent utilization are showcased as statistical metrics for each location where applicable. Ten years of historic AADT and AAWDT traffic count information is also available for each location where applicable.Annual Average Daily Traffic (AADT) data is collected from over 8700 program count stations and 84 ATRs, located throughout Maryland. The quality control feature of the system allow data edit checks and validation for data from the 84 permanent, continuous automatic traffic recorders (ATRs) and short-term traffic counts. To date, four (4) ATRs have been removed from the ATR Program. Program count data is collected (both directions) at regular locations on either a three (3) year or six (6) year cycle depending on type of roadway. Growth Factors are applied to counts which were not taken during the current year and the counts are factored based on the past yearly growth of an associated ATR. Counters are placed for 48 hours on a Monday or Tuesday and are picked up that Thursday or Friday, respectively. The ATR and toll count data is collected on a continuous basis. Toll station data is provided by the Maryland Transportation Authority (MDTA). A special numeric code was added to the AADT numbers, starting in 2006, to identify the years when the count was actually taken. The last digit represents the number of years prior to the actual count. Where “0” represents the current year when data was collected (in 2014), “1” represents the count taken in 2013, “2” represents the count taken in 2012, “3” represents the count taken in 2011 and so forth.Annual Average Daily Traffic (AADT) data is a strategic resource for the Federal Highway Administration (FHWA), the Maryland Department of Transportation (MDOT), the Maryland Department of Transportation State Highway Administration (MDOT SHA), as well as many other State and local government agencies. The data is essential in the planning, design and operation of the statewide road system and the development and implementation of State highway improvement and safety programs. The MDOT SHA Traffic Monitoring System (TMS) is a product of the ISTEA Act of 1991, which required a traffic data program to effectively and efficiently meet MDOT SHA’s long-term traffic data monitoring and reporting requirements.Annual Average Daily Traffic (AADT) data is updated and published on an annual (yearly) basis for the prior year. This data is for the year 2019. View the most current AADT data in the Maryland Annual Average Daily Traffic (AADT) LocatorFor AADT data information, contact the MDOT SHA Traffic Monitoring System (TMS) TeamEmail: TMS@mdot.maryland.govFor additional information, contact the MDOT SHA Geospatial Technologies TeamEmail: GIS@mdot.maryland.govFor additional information related to the Maryland Department of Transportation (MDOT):https://www.mdot.maryland.gov/For additional information related to the Maryland Department of Transportation State Highway Administration (MDOT SHA):https://roads.maryland.gov/Home.aspxMDOT SHA Geospatial Data Legal Disclaimer:The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. MDOT SHA shall not be liable for any lost profits, consequential damages, or claims against MDOT SHA by third parties.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Transportation/MD_AnnualAverageDailyTraffic/FeatureServer/0

United States US: Total Road Motor Vehicles: %: Goods Road Motor Vehicles data was reported at 53.359 % in 2019. This records an increase from the previous number of 52.030 % for 2018. United States US: Total Road Motor Vehicles: %: Goods Road Motor Vehicles data is updated yearly, averaging 42.797 % from Dec 1994 (Median) to 2019, with 26 observations. The data reached an all-time high of 53.359 % in 2019 and a record low of 34.325 % in 1994. United States US: Total Road Motor Vehicles: %: Goods Road Motor Vehicles data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Motor Vehicles Statistics: OECD Member: Annual. The stock of road motor vehicles is the number of road motor vehicles registered at a given date in a country and licenced to use roads open to public traffic. This includes road vehicles exempted from annual taxes or licence fee; it also includes imported second-hand vehicles and other road vehicles according to national practices. It should not include military vehicles.; GOODS VEHICLES A goods road vehicle is any single road motor vehicle designed to carry goods (e.g. a lorry), or any coupled combination of road vehicles designed to carry goods (i.e. lorry with trailer(s), or road tractor with or without semi-trailer and with or without trailer). VEHICLES A road motor vehicle is a road vehicle fitted with an engine whence it derives its sole means of propulsion, which is normally used for carrying persons or goods or for drawing, on the road, vehicles used for the carriage of persons or goods.; GOODS VEHICLES Data refer to vehicles other than motorised two-wheelers, passenger cars and buses. VEHICLES Motor vehicle refers to any motorised (mechanically or electronically powered) road vehicle not operated on rails.

United States US: Road Motor Vehicles: Per One Thousand Inhabitants data was reported at 911.483 Ratio in 2019. This records an increase from the previous number of 908.817 Ratio for 2018. United States US: Road Motor Vehicles: Per One Thousand Inhabitants data is updated yearly, averaging 837.223 Ratio from Dec 1994 (Median) to 2019, with 26 observations. The data reached an all-time high of 911.483 Ratio in 2019 and a record low of 731.577 Ratio in 1994. United States US: Road Motor Vehicles: Per One Thousand Inhabitants data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Motor Vehicles Statistics: OECD Member: Annual. VEHICLES The stock of road motor vehicles is the number of road motor vehicles registered at a given date in a country and licenced to use roads open to public traffic. This includes road vehicles exempted from annual taxes or licence fee; it also includes imported second-hand vehicles and other road vehicles according to national practices. It should not include military vehicles.; VEHICLES A road motor vehicle is a road vehicle fitted with an engine whence it derives its sole means of propulsion, which is normally used for carrying persons or goods or for drawing, on the road, vehicles used for the carriage of persons or goods.; VEHICLES Motor vehicle refers to any motorised (mechanically or electronically powered) road vehicle not operated on rails.

In 2018, most of the funding for the United States' highways came directly from the revenue generated by highway users. This represented just under ** percent of the total highway funding. Highway-user revenue includes federal fuel and vehicle taxes, state and local fuel and vehicle taxes, and state and local tolls.

Maryland Annual Average Daily Traffic (AADT) Segments data consists of linear geometric features which represent traffic count sections along public roadways in the State of Maryland. Traffic counts are performed in order to calculate the annual average daily traffic (AADT), annual average weekday traffic (AAWDT), and AADT based on vehicle class (current year only) for sections along public roadways in the State of Maryland. Overall percent utilization, percent utilization based on vehicle class, and truck-specific percent utilization are showcased as statistical metrics for each road section where applicable. Ten years of historic AADT and AAWDT traffic count information is also available for each road section where applicable.Annual Average Daily Traffic (AADT) data is collected from over 8700 program count stations and 84 ATRs, located throughout Maryland. The quality control feature of the system allow data edit checks and validation for data from the 84 permanent, continuous automatic traffic recorders (ATRs) and short-term traffic counts. To date, four (4) ATRs have been removed from the ATR Program. Program count data is collected (both directions) at regular locations on either a three (3) year or six (6) year cycle depending on type of roadway. Growth Factors are applied to counts which were not taken during the current year and the counts are factored based on the past yearly growth of an associated ATR. Counters are placed for 48 hours on a Monday or Tuesday and are picked up that Thursday or Friday, respectively. The ATR and toll count data is collected on a continuous basis. Toll station data is provided by the Maryland Transportation Authority (MDTA). A special numeric code was added to the AADT numbers, starting in 2006, to identify the years when the count was actually taken. The last digit represents the number of years prior to the actual count. Where “0” represents the current year when data was collected (in 2014), “1” represents the count taken in 2013, “2” represents the count taken in 2012, “3” represents the count taken in 2011 and so forth.Annual Average Daily Traffic (AADT) data is a strategic resource for the Federal Highway Administration (FHWA), the Maryland Department of Transportation (MDOT), the Maryland Department of Transportation State Highway Administration (MDOT SHA), as well as many other State and local government agencies. The data is essential in the planning, design and operation of the statewide road system and the development and implementation of State highway improvement and safety programs. The MDOT SHA Traffic Monitoring System (TMS) is a product of the ISTEA Act of 1991, which required a traffic data program to effectively and efficiently meet MDOT SHA’s long-term traffic data monitoring and reporting requirements.Annual Average Daily Traffic (AADT) data is updated and published on an annual (yearly) basis for the prior year. This data is for the year 2019. View the most current AADT data in the Maryland Annual Average Daily Traffic (AADT) LocatorFor AADT data information, contact the MDOT SHA Traffic Monitoring System (TMS) TeamEmail: TMS@mdot.maryland.govFor additional information, contact the MDOT SHA Geospatial Technologies TeamEmail: GIS@mdot.maryland.govFor additional information related to the Maryland Department of Transportation (MDOT):https://www.mdot.maryland.gov/For additional information related to the Maryland Department of Transportation State Highway Administration (MDOT SHA):https://roads.maryland.gov/Home.aspxMDOT SHA Geospatial Data Legal Disclaimer:The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. MDOT SHA shall not be liable for any lost profits, consequential damages, or claims against MDOT SHA by third parties.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Transportation/MD_AnnualAverageDailyTraffic/FeatureServer/1

United States US: Total Road Network: %: Urban Roads data was reported at 29.388 % in 2022. This records a decrease from the previous number of 29.436 % for 2021. United States US: Total Road Network: %: Urban Roads data is updated yearly, averaging 25.948 % from Dec 1994 (Median) to 2022, with 29 observations. The data reached an all-time high of 29.436 % in 2021 and a record low of 20.495 % in 1994. United States US: Total Road Network: %: Urban Roads data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Transport Infrastructure, Investment and Maintenance: OECD Member: Annual. [COVERAGE] The road network is all roads in a given area. LENGTH OF URBAN ROADS A road inside a built-up area, with entries and exits sign-posted as such. Motorways, express roads and other roads of higher speed traversing the built-up area, if not signed-posted as built-up roads are not included. Streets are included. LENGTH OF ROADS A road is a line of communication (travelled way) open to public traffic, primarily for the use of road motor vehicles, using a stabilised base other than rails or air strips. Paved roads and other roads with a stabilised base, e.g. gravel roads, are included. Roads also cover streets, bridges, tunnels, supporting structures, junctions, crossings and interchanges. Toll roads are also included. Dedicated cycle lanes are not included. [COVERAGE] Road refers to the US definition of either roadway or traffic way. Roadway (travelled portion of road) and shoulder, if an, make up the road. Trafficway is the entire right-of-way (or land way set outside) containing one or more roads for traffic in the same or opposite directions. [STAT_CONC_DEF] The length of the road is the distance between its start and end point. If one of the directions of the carriageway is longer than the other then the length is calculated as the sum of half of the distances of each direction of the carriageway from first entry point to last exit point.

The Highway Statistics Series consists of annual reports containing analyzed statistical information on motor fuel, motor vehicle registrations, driver licenses, highway user taxation, highway mileage, travel, and highway finance. These information are presented in tables as well as selected charts. It has been published annually since 1945.

The Highway-Runoff Database (HRDB) was developed by the U.S. Geological Survey, in cooperation with the Federal Highway Administration (FHWA) to provide planning-level information for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation’s receiving waters. The HRDB was assembled by using a Microsoft Access database application to facilitate use of the data and to calculate runoff-quality statistics with methods that properly handle censored-concentration data. This data release provides highway-runoff data, including information about monitoring sites, precipitation, runoff, and event-mean concentrations of water-quality constituents. The dataset was compiled from 37 studies as documented in 113 scientific or technical reports. The dataset includes data from 242 highway sites across the country. It includes data from 6,837 storm events with dates ranging from April 1975 to November 2017. Therefore, these data span more than 40 years; vehicle emissions and background sources of highway-runoff constituents have changed markedly during this time. For example, some of the early data is affected by use of leaded gasoline, phosphorus-based detergents, and industrial atmospheric deposition. The dataset includes 106,441 concentration values with data for 414 different water-quality constituents. This dataset was assembled from various sources and the original data was collected and analyzed by using various protocols. Where possible the USGS worked with State departments of transportation and the original researchers to obtain, document, and verify the data that was included in the HRDB. This new version (1.1.0) of the database contains software updates to provide data-quality information within the Graphical User Interface (GUI), calculate statistics for multiple sites in batch mode, and output additional statistics. However, inclusion in this dataset does not constitute endorsement by the USGS or the FHWA. People who use this data are responsible for ensuring that the data are complete and correct and that it is suitable for their intended purposes.

The Federal Highway Administration (FHWA) has the responsibility to assure that adequate highway transportation information is available to support its functions and responsibilities, including those of the Administration and the Congress. The primary purpose of the Highway Performance Monitoring System (HPMS) is to serve these data and information needs. The HPMS provides data that reflects the extent, condition, performance, use, and operating characteristics of the nation's highways. The HPMS by itself is not geospatial data. It is linked to another FHWA dataset, the National Highway Planning Network (NHPN), through linear referencing. The NHPN provides the geospatial component of this dataset. The hpms data on the 2014 NTAD represents 2012 hpms. 2012 is the latest complete compilation of hpms data.

This layer is sourced from maps.bts.dot.gov.

Some 284.6 million vehicles were registered in the United States in 2023. The figures include passenger cars, motorcycles, trucks, buses, and other vehicles. The number of light trucks sold in the U.S. stood at 12.4 million units in 2023. 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 15.5 million new light vehicle registrations in 2023. However, domestic production of automobiles stood at around 1.7 million units in 2023, which was under half the output recorded in 2016. At the same time, the United States imports a significant number of vehicles and vehicle parts 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 2024, selling around 2.1 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.

United States US: Goods Road Motor Vehicles: Per One Million Units of Current USD GDP data was reported at 7.450 Ratio in 2019. This records a decrease from the previous number of 7.498 Ratio for 2018. United States US: Goods Road Motor Vehicles: Per One Million Units of Current USD GDP data is updated yearly, averaging 7.954 Ratio from Dec 1994 (Median) to 2019, with 26 observations. The data reached an all-time high of 9.067 Ratio in 1994 and a record low of 7.450 Ratio in 2019. United States US: Goods Road Motor Vehicles: Per One Million Units of Current USD GDP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Motor Vehicles Statistics: OECD Member: Annual. GOODS VEHICLES The stock of road motor vehicles is the number of road motor vehicles registered at a given date in a country and licenced to use roads open to public traffic. This includes road vehicles exempted from annual taxes or licence fee; it also includes imported second-hand vehicles and other road vehicles according to national practices. It should not include military vehicles.; GOODS VEHICLES A goods road vehicle is any single road motor vehicle designed to carry goods (e.g. a lorry), or any coupled combination of road vehicles designed to carry goods (i.e. lorry with trailer(s), or road tractor with or without semi-trailer and with or without trailer).; GOODS VEHICLES Data refer to vehicles other than motorised two-wheelers, passenger cars and buses.

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.

United States US: Passenger Cars: Per One Million Units of Current USD GDP data was reported at 6.065 Ratio in 2019. This records a decrease from the previous number of 6.445 Ratio for 2018. United States US: Passenger Cars: Per One Million Units of Current USD GDP data is updated yearly, averaging 9.732 Ratio from Dec 1994 (Median) to 2019, with 26 observations. The data reached an all-time high of 16.741 Ratio in 1994 and a record low of 6.065 Ratio in 2019. United States US: Passenger Cars: Per One Million Units of Current USD GDP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Motor Vehicles Statistics: OECD Member: Annual. PASSENGER CARS The stock of road motor vehicles is the number of road motor vehicles registered at a given date in a country and licenced to use roads open to public traffic. This includes road vehicles exempted from annual taxes or licence fee; it also includes imported second-hand vehicles and other road vehicles according to national practices. It should not include military vehicles.; PASSENGER CARS A passenger car is a road motor vehicle, other than a moped or a motorcycle, intended for the carriage of passengers and designed to seat no more than nine people (including the driver). It refers to category M1 of the UN Consolidated Resolution on the Construction of Vehicles. Passenger cars, vans designed and used primarily for transport of passengers, taxis, hire cars, ambulances and motor homes are not included. Light goods road vehicles, motor-coaches and buses and mini-buses/mini-coaches are not included. Microcars (needing no permit to be driven), taxis and passenger hire cars, provided that they have fewer than ten seats, are included.; PASSENGER CARS Passenger car refers to a motor vehicle other than a motorcycle, utility vehicle or low-speed vehicle consisting of a transport device typically designed for carrying eight or fewer persons.

United States US: Total Road Motor Vehicles: %: Motorcycles data was reported at 2.872 % in 2019. This records a decrease from the previous number of 2.915 % for 2018. United States US: Total Road Motor Vehicles: %: Motorcycles data is updated yearly, averaging 2.714 % from Dec 1994 (Median) to 2019, with 26 observations. The data reached an all-time high of 3.183 % in 2011 and a record low of 1.864 % in 1998. United States US: Total Road Motor Vehicles: %: Motorcycles data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Motor Vehicles Statistics: OECD Member: Annual. The stock of road motor vehicles is the number of road motor vehicles registered at a given date in a country and licenced to use roads open to public traffic. This includes road vehicles exempted from annual taxes or licence fee; it also includes imported second-hand vehicles and other road vehicles according to national practices. It should not include military vehicles.; MOTORCYCLES A motorcycle is a two, three, or four-wheeled motor vehicle not exceeding 4000 kg (900 lb) of unladen weight. All such vehicles with a cylinder capacity of 50 cc or over are included, as those under 50 cc which do not meet the definition of moped. It refers to categories L3, L4, L5, L6 and L7 of the UN Consolidated Resolution on the Construction of Vehicles. VEHICLES A road motor vehicle is a road vehicle fitted with an engine whence it derives its sole means of propulsion, which is normally used for carrying persons or goods or for drawing, on the road, vehicles used for the carriage of persons or goods.; MOTORCYCLES Data include mopeds. Data do not include four-wheeled road vehicles. VEHICLES Motor vehicle refers to any motorised (mechanically or electronically powered) road vehicle not operated on rails.

Esri ArcGIS Online (AGOL) Web App which provides access to the MDOT SHA Annual Average Daily Traffic (AADT) data product.MDOT SHA Annual Average Daily Traffic (AADT) data consists of linear & point geometric features which represent the geographic locations & segments of roadway throughout the State of Maryland that include traffic volume metrics. Traffic volume metrics are produced from traffic count information used to calculate annual average daily traffic (AADT), annual average weekday traffic (AAWDT), AADT based on vehicle class (current year only) for roadways throughout the State. Overall percent utilization, percent utilization based on vehicle class, and truck-specific percent utilization are showcased as statistical metrics for each geographic location or segment of roadway throughout the State, where applicable. Ten (10) years of historic AADT & AAWDT traffic volume metrics are also available for each geographic location or segment of roadway throughout the State, where applicable.Annual Average Daily Traffic (AADT) data is collected from over 8700 program count stations and 84 ATRs, located throughout Maryland. The quality control feature of the system allow data edit checks and validation for data from the 91 permanent, continuous automatic traffic recorders (ATRs) and short-term traffic counts. Program count data is collected in both directions (inventory & non-inventory) at regular locations on either a three (3) year or six (6) year cycle depending on the type of roadway. Growth factors are applied to counts which were not taken during the current year and the counts are factored based on the past yearly growth of an associated ATR. Counters are placed for 48 hours on a Monday or Tuesday and are picked up that Thursday or Friday, respectively. The ATR and toll count data is collected on a continuous basis. Toll station data is provided by the Maryland Transportation Authority (MDTA). A special numeric code was added to the AADT numbers, starting in 2006, to identify the years when the count was actually taken. The last digit represents the number of years prior to the actual count. Where “0” represents the current year when data was collected (in 2020), “1” represents the count taken in 2019, “2” represents the count taken in 2018, “3” represents the count taken in 2017 and so forth.Annual Average Daily Traffic (AADT) data is a strategic resource for the Federal Highway Administration (FHWA), the Maryland Department of Transportation (MDOT), the Maryland Department of Transportation State Highway Administration (MDOT SHA), as well as many other Federal, State & local government agencies. The data is essential in the planning, design and operation of the statewide road system and the development & implementation of State highway improvement & safety programs. The MDOT SHA Traffic Monitoring System (TMS) is a product of the ISTEA Act of 1991, which required a traffic data program to effectively & efficiently meet MDOT SHA’s long-term traffic data monitoring & reporting requirements.Annual Average Daily Traffic (AADT) data is updated and published on an annual basis for the prior year. This data is for the year 2021.View the most current AADT data in the MDOT SHA Annual Average Daily Traffic (AADT) LocatorFor more AADT data information, contact MDOT SHA Traffic Monitoring System (TMS):Email: TMS@mdot.maryland.govFor more general information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

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 identified to have been used at some point in 2021..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:..Range of operation.Jurisdiction...Estimates on this table:..Vehicle miles (millions).Coefficients of variation for all of the above estimates (percentages)...Data Item Notes:.None...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/VIUS215A.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/viusc.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). Mileage by Registration State and Body Type: 2021 [VIUSC2021]. 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 about VIUS, see Vehicle Inventory and Use Survey (VIUS)...Contact Information:.U.S. Census Bureau.Vehicle Inventory and Use Survey.Tel. (301) 763-6901.Email: erd.vius@census.gov