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.

Annual dollar amounts of state disbursements for highways by disbursement type from FHWA Highway Statistics table SF-2.

Annual vehicle miles of travel by functional system for each of the 50 states, DC, and Puerto Rico from the Highway Statistics table VM-2. (Note: In 2009, the Urban functional class of Collectors became Major Collectors and Minor Collectors. Also in 2009, the system added the Rural functional class of Other Freeways and Expressways.)

Annual dollars of federal highway trust fund receipts from various tax sources for each of the 50 states and DC from the Highway Statistics table FE-9. (Note: Tax type for "Gasohol" only from 1999 to 2005.)

Annual state-reported motor vehicle registration data for the 50 states, DC, and Puerto Rico (2000 - 2010) reported in Highway Statistics table MV-1.

This is list of data elements and their attributes that are used by data assets at the Federal Highway Administration.

Annual lane miles in the National Highway System by rural / urban and functional system for the 50 states, DC, and Puerto Rico from the Highway Statistics table HM-43. (Note: In 2009, Functional System changed attributes.)

The National Highway Planning Network (NHPN) dataset was compiled on May 01, 2014 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset is a comprehensive network database of the nation's major highway system. It consists of the nation's highways comprised of Rural Arterials, Urban Principal Arterials and all National Highway System routes. The data set covers the 48 contiguous States plus the District of Columbia, Alaska, Hawaii, and Puerto Rico. The nominal scale of the data set is 1:100,000 with a maximal positional error of 80 meters.

Annual dollars of revenues used by states for highways from various sources for each of the 50 states and DC from the Highway Statistics table SF-1.

Highways Statistics: Flow of Highways: ABCR Index: sa: Brazil: Light Vehicles data was reported at 157.799 1999=100 in Jun 2019. This records an increase from the previous number of 156.379 1999=100 for May 2019. Highways Statistics: Flow of Highways: ABCR Index: sa: Brazil: Light Vehicles data is updated monthly, averaging 119.327 1999=100 from Jan 1999 (Median) to Jun 2019, with 246 observations. The data reached an all-time high of 161.747 1999=100 in Dec 2014 and a record low of 92.660 1999=100 in Mar 2003. Highways Statistics: Flow of Highways: ABCR Index: sa: Brazil: Light Vehicles data remains active status in CEIC and is reported by Brazilian Association of Highway Concessionaires. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAW002: Highways Statistics: Flow of Highways: Flow of Vehicles Index: Seasonally Adjusted. The ABCR index considers only the flow of private highways under concession.

NHS as officially accepted by the Council of Ministers, mapping by Transport Canada.

The National Highway Construction Cost Index (NHCCI) is a price index that can be used both to track price changes associated with highway construction costs, and to convert current dollar expenditures on highway construction to real or constant dollar expenditures. This dataset contains the quarterly NHCCI estimates as well as the Seasonally Adjusted NHCCI and Component Contributions to Changes in NHCCI.

Visit https://www.fhwa.dot.gov/policy/otps/nhcci/ for more information regarding the NHCCI.

Annual licensed drivers, vehicle registrations, and estimated resident population from the 50 states and DC for producing Highway Statistics Chart DV-1C.

Graph and download economic data for Moving 12-Month Total Vehicle Miles Traveled (M12MTVUSM227NFWA) from Dec 1970 to Apr 2025 about miles, travel, vehicles, and USA.

VITAL SIGNS INDICATOR Daily Miles Traveled (T14)

FULL MEASURE NAME Total vehicle miles traveled

LAST UPDATED July 2017

DESCRIPTION Daily miles traveled, commonly referred to as vehicle miles traveled (VMT), reflects the total and per-person number of miles traveled in personal vehicles on a typical weekday. The dataset includes metropolitan area, regional and county tables for total vehicle miles traveled.

DATA SOURCE Federal Highway Administration: Highway Statistics Series 2015 Table HM-71; limited to urbanized areas https://www.fhwa.dot.gov/policyinformation/statistics.cfm

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) Vehicle miles traveled reflects the mileage accrued within the county and not necessarily the residents of that county; even though most trips are due to local residents, additional VMT can be accrued by through-trips. City data was thus discarded due to this limitation and the analysis only examine county and regional data, where through-trips are generally less common.

The metropolitan area comparison was performed by summing all of the urbanized areas for which the majority of its population falls within a given metropolitan area (9-nine region for the San Francisco Bay Area and the primary MSA for all others). For the metro analysis, no VMT data is available in rural areas; it is only available for intraregional analysis purposes.

Annual State-reported licensed driver data from Highway Statistics for the 50 States and DC from Highway Statistics table DL-22.

Roadway Functional Classification consists of linear features which specifically show the functional classification of public roadways in the State of Maryland. Roadway Functional Classification is defined as the role each roadway plays in moving vehicles throughout a network of highways. Roadway Functional Classification is primarily used for general planning purposes, and for Federal Highway Administration (FHWA) Highway Performance Monitoring System (HPMS) annual submission & coordination. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. Roadway Functional Classification data is not a complete representation of all roadway geometry.Maryland's roadway system is a vast network that connects places and people within and across county borders. Planners and engineers have developed elements of this network with particular travel objectives in mind. These objectives range from serving long-distance passenger and freight needs to serving neighborhood travel from residential developments to nearby shopping centers. The functional classification of roadways defines the role each element of the roadway network plays in serving these travel needs. ​ Over the years, functional classification has come to assume additional significance beyond its purpose as a framework for identifying the particular role of a roadway in moving vehicles through a network of highways. Functional classification carries with it expectations about roadway design, including its speed, capacity and relationship to existing and future land use development. Federal legislation continues to use functional classification in determining eligibility for funding under the Federal-aid program. Transportation agencies describe roadway system performance, benchmarks and targets by functional classification. As agencies continue to move towards a more performance-based management approach, functional classification will be an increasingly important consideration in setting expectations and measuring outcomes for preservation, mobility and safety.Roadway Functional Classification data is developed as part of the Highway Performance Monitoring System (HPMS) which maintains and reports transportation related information to the Federal Highway Administration (FHWA) on an annual basis. HPMS is maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning and Preliminary Engineering (OPPE) Data Services Division (DSD). This data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. Roadway Functional Classification data is key to understanding the role each roadway plays in moving vehicles throughout Maryland's network of highways.Roadway Functional Classification data is updated and published on an annual basis for the prior year. This data is for the year 2017. View the most current Roadway Functional Classification data in the MDOT SHA Roadway Functional Classes Application For additional information, contact the MDOT SHA Geospatial TechnologiesEmail: GIS@mdot.state.md.usFor 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.Map Service Link:https://mdgeodata.md.gov/imap/rest/services/Transportation/MD_HighwayPerformanceMonitoringSystem/MapServer/2

Brazil Highways Statistics: Financial Data: Toll Revenue: Federal data was reported at 6,168,792,000.000 BRL in 2017. This records an increase from the previous number of 5,632,274,000.000 BRL for 2016. Brazil Highways Statistics: Financial Data: Toll Revenue: Federal data is updated yearly, averaging 1,050,746,000.000 BRL from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 6,168,792,000.000 BRL in 2017 and a record low of 0.000 BRL in 1995. Brazil Highways Statistics: Financial Data: Toll Revenue: Federal data remains active status in CEIC and is reported by Brazilian Association of Highway Concessionaires. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAW004: Highways Statistics: Financial Data. The Brazilian Association of Highway Concessionaires-ABCR represents the highway concession sector.

The Federal Highway Administration (FHWA) has been receiving Highway inventory, usage, condition and performance data from State Departments of Transportation (DOT) since 1978 to support the program mission of the FHWA. Specifically, HPMS consists of detailed road segment data (63 Attributes) for higher order systems. Sample attributes for collector systems and summary data for the local roads. New requirements for HPMS took effect in 2014 that required each State DOTs to expand their Linear Referencing Systems (LRS), a statewide geospatial representation of their road system that includes all public roads. This requirement was put in place to support highway safety. States DOTs submit HPMS data annually to the FHWA following a prescribed format outlined in the Highway Performance Monitoring System Field Manual.

Annual number of licensed drivers by sex and age groups from FHWA Highway Statistics table DL-220.