This dataset is refreshed on a weekly basis from the datasets the team works on daily.Last update date: 20 November 2025.National Highways Operational Highway Boundary (RedLine) maps out the land belonging to the highway for the whole Strategic Road Network (SRN). It comprises two layers; one being the an outline and another showing the registration status / category of land of land that makes up the boundary. Due to the process involved in creating junctions with local highway authority (LHA) roads, land in this dataset may represent LHA highway (owned by National Highways but the responsibility of the LHA to maintain). Surplus land or land held for future projects does not form part of this dataset.The highway boundary is derived from:Ordnance Survey Mastermap Topography,HM Land Registry National Polygon Service (National Highway titles only), andplots researched and digitised during the course of the RedLine Boundary Project.The boundary is split into categories describing the decisions made for particular plots of land. These categories are as follows:Auto-RedLine category is for plots created from an automated process using Ordnance Survey MasterMap Topography as a base. Land is not registered under National Highways' name. For example, but not limited to, unregistered ‘ancient’ highway vested in Highways England, or bridge carrying highways over a rail line.NH Title within RedLine category is for plots created from Land Registry Cadastral parcels whose proprietor is National Highways or a predecessor. Land in this category is within the highway boundary (audited) or meets a certain threshold by the algorithm.NH Title outside RedLine category is for plots created in the same way as above but these areas are thought to be outside the highway boundary. Where the Confidence is Low, land in this category is yet to be audited. Where the Confidence is High, land in this category has been reviewed and audited as outside our operational boundary.National Highways (Technician) Data category is for plots created by National Highways, digitised land parcels relating to highway land that is not registered, not yet registered or un-registerable.Road in Tunnel category, created using tunnel outlines from Ordnance Survey MasterMap Topography data. These represent tunnels on Highways England’s network. Land is not registered under National Highways' name, but land above the tunnel may be in National Highways’ title. Please refer to the definitive land ownership records held at HM Land Registry.The process attribute details how the decision was made for the particular plot of land. These are as follows:Automated category denotes data produced by an automated process. These areas are yet to be audited by the company.Audited category denotes data that has been audited by the company.Technician Data (Awaiting Audit) category denotes data that was created by National Highways but is yet to be audited and confirmed as final.The confidence attribute details how confident you can be in the decision. This attribute is derived from both the decisions made during the building of the underlying automated dataset as well as whether the section has been researched and/or audited by National Highways staff. These are as follows:High category denotes land that has a high probability of being within the RedLine boundary. These areas typically are audited or are features that are close to or on the highway.Moderate category denotes land that is likely to be within the highway boundary but is subject to change once the area has been audited.Low category denotes land that is less likely to be within the highway boundary. These plots typically represent Highways England registered land that the automated process has marked as outside the highway boundary.Please note that this dataset is indicative only. For queries about this dataset please contact the GIS and Research Team.

This dataset represents the land Highways England manages as highway. It is derived from Land Registry Cadastral parcels, Ordnance Survey and HAPMS (Highways England's Pavement Management System). This dataset is indicative, full ownership details can be found through the Land Registry.

Highways Agency Lands - Personal data of property / land owners and other claimants under land compensation provisions

The carriageway dataset is the authoritative spatial dataset used in the administration and management of state road assets by the Department of State Growth. It records the location of proclaimed state roads under the Roads and Jetties Act & Highways Act. This dataset is captured and stored using the Tasmanian Road Information Positioning System (TRIPS) consisting of a Linear Referencing System (LRS) and a geographical coordinate system.

LIST Transport Segment data is a subset of the LIST Transport Segment data and comprises transport routes with highway status. The subset has been created to provide clarity on ownership of roads (Authority). Metadata for each line is linked to the Transport Segment layer through the Feature Metadata Pointer (FMP) attribute.

TransportationThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau, displays primary roads, secondary roads, local roads and railroads in the United States. According to the USCB, "This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways."Interstates 20 and 635Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (TIGERweb/Transportation) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 155 (Series Information for All Roads County-based TIGER/Line Shapefiles, Current)OGC API Features Link: (Transportation - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: Census Feature Class Codes (CFCC)For feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."For other NGDA Content: Esri Federal Datasets

The State Land Inventory System is a collaborative effort with participation from all land-owning State of Oregon agencies. The data available in the map is the most current published statewide dataset for State of Oregon land ownership. The State Land Inventory System tracks land that has been assigned a tax lot by County Assessor's Offices, and also tracks State mineral ownership. The data does not include public rights of way (highways, roads and streets) or waterbodies which have not been assigned a tax lot by a County Assessor. While efforts have been made to ensure the accuracy of the data, the managing agency for any individual parcel should be contacted to verify land ownership and boundaries.Contact information for each agency can be found here:https://www.oregon.gov/pages/a_to_z_listing.aspx

Median barriers are longitudinal barriers most commonly used to separate opposing directions of traffic on a divided highway. This is the authoritative spatial dataset used in the administration and management of 'median barriers' and records the location of median barriers on the 'State Government Proclaimed Road' network. This is one of the key datasets for the Road Information Management System (Database) and is captured and stored with a Linear Referencing System (LRS) and a coordinate reference system.

The National Highway Traffic Safety Administration has collected crash data since the early 1970s to support its mission to reduce motor vehicle crashes, injuries, and deaths on our nation’s highways. The Crash Report Sampling System (CRSS) builds on the retired, long-running National Automotive Sampling System General Estimates System (NASS GES). CRSS is a sample of police-reported crashes involving all types of motor vehicles, pedestrians, and cyclists, ranging from property-damage-only crashes to those that result in fatalities. CRSS is used to estimate the overall crash picture, identify highway safety problem areas, measure trends, drive consumer information initiatives, and form the basis for cost and benefit analyses of highway safety initiatives and regulations. NHTSA’s crash data collection program consists of CRSS, the Fatality Analysis Reporting System, the Crash Investigation Sampling System, Special Crash Investigations, Non-Traffic Surveillance, the Crash Injury Research & Engineering Network, and special studies conducted to address various safety topics.Source: https://www.nhtsa.gov/crash-data-systems/crash-report-sampling-systemOne of the primary objectives of the National Highway Traffic Safety Administration (NHTSA) is to reduce the human toll and property damage that motor vehicle traffic crashes inflict on our society. Crashes each year result in thousands of lives lost, hundreds of thousands of injured victims, and billions of dollars in property damage. Accurate data are required to support the development, implementation, and assessment of highway safety programs aimed at reducing this toll. NHTSA uses data from many sources, including the Crash Report Sampling System (CRSS). CRSS is a sample of police-reported crashes involving all types of motor vehicles, pedestrians, and cyclists, ranging from property damage only crashes to those that result in fatalities. CRSS is used to estimate the overall crash picture, identify highway safety problem areas, measure trends, drive consumer information initiatives, and form the basis for cost and benefit analyses of highway safety initiatives and regulations.CRSS obtains its data from a nationally representative probability sample selected from the more than 6 million police-reported crashes that occur annually. Although various sources suggest that there are many more crashes that are not reported to the police, the majority of these unreported crashes involve only minor property damage and no significant personal injury. By restricting attention to police-reported crashes, CRSS concentrates on those crashes of greatest concern to the highway safety community and the general public.Source: Crash Report Sampling System Analytical User’s Manual, 2016-2023

This web map created by the Colorado Governor's Office of Information Technology GIS team, serves as a basemap specific to the state of Colorado. The basemap includes general layers such as counties, municipalities, roads, waterbodies, state parks, national forests, national wilderness areas, and trails.Layers:Layer descriptions and sources can be found below. Layers have been modified to only represent features within Colorado and are not up to date. Layers last updated February 23, 2023. Colorado State Extent: Description: “This layer provides generalized boundaries for the 50 States and the District of Columbia.” Notes: This layer was filtered to only include the State of ColoradoSource: Esri Living Atlas USA States Generalized Boundaries Feature LayerState Wildlife Areas:Description: “This data was created by the CPW GIS Unit. Property boundaries are created by dissolving CDOWParcels by the property name, and property type and appending State Park boundaries designated as having public access. All parcel data correspond to legal transactions made by the CPW Real Estate Unit. The boundaries of the CDOW Parcels were digitized using metes and bounds, BLM's GCDB dataset, the PLSS dataset (where the GCDB dataset was unavailable) and using existing digital data on the boundaries.” Notes: The state wildlife areas layer in this basemap is filtered from the CPW Managed Properties (public access only) layer from this feature layer hosted in ArcGIS Online Source: Colorado Parks and Wildlife CPW Admin Data Feature LayerMunicipal Boundaries:Description: "Boundaries data from the State Demography Office of Colorado Municipalities provided by the Department of Local Affairs (DOLA)"Source: Colorado Information Marketplace Municipal Boundaries in ColoradoCounties:Description: “This layer presents the USA 2020 Census County (or County Equivalent) boundaries of the United States in the 50 states and the District of Columbia. It is updated annually as County (or County Equivalent) boundaries change. The geography is sources from US Census Bureau 2020 TIGER FGDB (National Sub-State) and edited using TIGER Hydrology to add a detailed coastline for cartographic purposes. Geography last updated May 2022.” Notes: This layer was filtered to only include counties in the State of ColoradoSource: Esri USA Census Counties Feature LayerInterstates:Description: Authoritative data from the Colorado Department of Transportation representing Highways Notes: Interstates are filtered by route sign from this CDOT Highways layer Source: Colorado Department of Transportation Highways REST EndpointU.S. Highways:Description: Authoritative data from the Colorado Department of Transportation representing Highways Notes: U.S. Highways are filtered by route sign from this CDOT Highways layer Source: Colorado Department of Transportation Highways REST EndpointState Highways:Description: Authoritative data from the Colorado Department of Transportation representing Highways Notes: State Highways are filtered by route sign from this CDOT Highways layer Source: Colorado Department of Transportation Highways REST EndpointMajor Roads:Description: Authoritative data from the Colorado Department of Transportation representing major roads Source: Colorado Department of Transportation Major Roads REST EndpointLocal Roads:Description: Authoritative data from the Colorado Department of Transportation representing local roads Source: Colorado Department of Transportation Local Roads REST EndpointRail Lines:Description: Authoritative data from the Colorado Department of Transportation representing rail lines Source: Colorado Department of Transportation Rail Lines REST EndpointCOTREX Trails:Description: “The Colorado Trail System, now titled the Colorado Trail Explorer (COTREX), endeavors to map every trail in the state of Colorado. Currently their are nearly 40,000 miles of trails mapped. Trails come from a variety of sources (USFS, BLM, local parks & recreation departments, local governments). Responsibility for accuracy of the data rests with the source.These data were last updated on 2/5/2019” Source: Colorado Parks and Wildlife CPW Admin Data Feature LayerNHD Waterbodies:Description: “The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses.”Notes: This layer was filtered to only include waterbodies in the State of ColoradoSource: National Hydrography Dataset Plus Version 2.1 Feature LayerNHD Flowlines:Description: “The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses.”Notes: This layer was filtered to only include flowline features in the State of ColoradoSource: National Hydrography Dataset Plus Version 2.1 Feature LayerState Parks:Description: “This data was created by the CPW GIS Unit. Property boundaries are created by dissolving CDOWParcels by the property name, and property type and appending State Park boundaries designated as having public access. All parcel data correspond to legal transactions made by the CPW Real Estate Unit. The boundaries of the CDOW Parcels were digitized using metes and bounds, BLM's GCDB dataset, the PLSS dataset (where the GCDB dataset was unavailable) and using existing digital data on the boundaries.” Notes: The state parks layer in this basemap is filtered from the CPW Managed Properties (public access only) layer from this feature layer Source: Colorado Parks and Wildlife CPW Admin Data Feature LayerDenver Parks:Description: "This dataset should be used as a reference to locate parks, golf courses, and recreation centers managed by the Department of Parks and Recreation in the City and County of Denver. Data is based on parcel ownership and does not include other areas maintained by the department such as medians and parkways. The data should be used for planning and design purposes and cartographic purposes only."Source: City and County of Denver Parks REST EndpointNational Wilderness Areas:Description: “A parcel of Forest Service land congressionally designated as wilderness such as National Wilderness Area.”Notes: This layer was filtered to only include National Wilderness Areas in the State of ColoradoSource: United States Department of Agriculture National Wilderness Areas REST EndpointNational Forests: Description: “A depiction of the boundaries encompassing the National Forest System (NFS) lands within the original proclaimed National Forests, along with subsequent Executive Orders, Proclamations, Public Laws, Public Land Orders, Secretary of Agriculture Orders, and Secretary of Interior Orders creating modifications thereto, along with lands added to the NFS which have taken on the status of 'reserved from the public domain' under the General Exchange Act. The following area types are included: National Forest, Experimental Area, Experimental Forest, Experimental Range, Land Utilization Project, National Grassland, Purchase Unit, and Special Management Area.”Notes: This layer was filtered to only include National Forests in the State of ColoradoSource: United States Department of Agriculture Original Proclaimed National Forests REST Endpoint

This layer depicts non-military land owned by the federal government within the 17 jurisdictions of the Hampton Roads Planning District Commission (HRPDC) in southeast Virginia. This data set contains the major federal land holdings but may not include every federally owned parcel in the region. Included are national wildlife refuges, national parks, and others. Use of this data should be restricted to planning purposes only.

This dataset provides information about the number of properties, residents, and average property values for State Highway Jj cross streets in Sparta, MO.

Details of all local authority land and building assets. These include all service and office properties, any properties under PFI contracts, all other properties we own or use, garages (unless part of housing tenancy agreement), surplus, sublet or vacant properties, undeveloped land, service or temporary offices and all future commitments.Data has been excluded or redacted from the publication in line with guidance issued by the Local Government Association. This can be rent free properties provide by traders, operational railways and canals, operational public highways, assets of national security and information deemed inappropriate for public access due to data protection or disclosure controls (e.g. refuge houses).This data is published annually.

RS 2477 stands for Revised Statute 2477 from the Mining Act of 1866, which states:

"The right-of-way for the construction of highways over public lands, not reserved for public uses, is hereby granted."

The act granted a public right-of-way across unreserved federal land to guarantee access as land transferred to state or private ownership. Rights-of-way were created and granted under RS 2477 until its repeal in 1976. In Alaska, federal land was "reserved for public uses" in December 1968, with passage of PLO 4582, also known as the "land freeze." This date ends the window of RS 2477 qualification in Alaska.

This shape file characterizes the geographic representation of land parcels within the State of Alaska contained by the RS2477 Trails category. It has been extracted from data sets used to produce the State status plats. This data set includes cases noted on the digital status plats up to one day prior to data extraction.

Each feature has an associated attribute record, including a Land Administration System (LAS) file-type and file-number which serves as an index to related LAS case-file information. Additional LAS case-file and customer information may be obtained at: Those requiring more information regarding State land records should contact the Alaska Department of Natural Resources Public Information Center directly.

This data was derived from the ATR Parcel geodatabase. Public parcels with the following Exemption codes: EX1: County Owned Property (County Owned Parks, Roads, etc )
EX2: Municipal Corp and Misc Taxing Districts (Cities or Towns owned properties. Ports, Parks, Roads, Tacoma Housing Authority. Also FPDs, Pierce C) EX3: State of Washington (State Highways, State Forest Lands, DOR, DNR-State Parks and Rec areas, State Colleges. )
EX4: USA - Federal Land and Buildings (Federal Land and Buildings )
EXS : Public School owned property (Lands and Buildings owned by public school districts) GOVT: Government Property (Government Property )

This dataset depicts the official State of Utah School and Institutional Trust Lands Administration R.S. 2477 roads. According to the Utah Public Lands Policy Coordinating Office, "Revised Statute 2477 (Section 8 of the Mining Act of 1866) is a federal law that authorized construction of roads across federal public lands. Congress repealed R.S. 2477 in 1976, and enacted the Federal Land Policy and Management Act (FLPMA). This law established a preference for retaining lands in federal ownership. All R.S. 2477 rights-of-way were preserved at the time FLMPA was passed and preserved for public use." The state may gain title to roads crossing public lands if it can prove 10 years of continuous public use prior to the law's repeal.

The Road Segment table describes the administration and ownership of the segment of road. It contains tabular polyline data showing the log miles/measures, road name, functional class, government control, and U.S. Routes. Road names are derived from visual surveys by field crew or official GIS maps. Functional class is set by the Federal Highway Administration (FHWA). All other categories are determined by state and local agencies. This dataset is updated weekly. County – County in Tennessee where associated features and attributes are located.Route Number – Route in Tennessee with corresponding attributes.Special Case – Route designator for non-standard routes such as By-Pass.00 None01 Spur - S02 Alternate - A03 State Connector - C04 Bypass - BP05 Business Route - BR06 Northbound - N07 Southbound - S08 Eastbound - E09 Westbound - WCounty Sequence – This number indicates the sequential number of times a route enters and leaves the county, begins with zero (0).Beginning Log Mile (BLM) – The beginning log mile (measure) for the route segment.Ending Log Mile (ELM) - The ending log mile (measure) for the route segment.Functional Classification – These codes, set by the FHWA, provide a statewide highway functional classification in rural and urban areas to determine functional usage of the existing roads and streets.01 Rural Interstate02 Rural Other Principal Arterial03 Rural Freeway or Expressway06 Rural Minor Arterial07 Rural Major Collector08 Rural Minor Collector09 Rural Local11 Urban Interstate12 Urban Freeway or Expressway14 Urban Other Principal Arterial16 Urban Minor Arterial17 Urban Collector19 Urban LocalGovernment Control – These codes determine ownership and maintenance responsibility.01 State Highway Agency02 County04 Municipal11 State Park12 Local Park21 Other State Agency25 Other Local Agency26 Private27 Railroad40 Other Public60 Other Federal Agency63 US Fish and Wildlife64 US Forest Service66 National Park Service67 TVA68 Bureau of Land Management70 Corps of Engineers (Civil)72 Air Force73 Navy or Marines74 Army80 OtherUS Route Number – US Route Number assigned to roadway segment.

This dataset provides information about the number of properties, residents, and average property values for State Highway 215 cross streets in Jenkinsville, SC.

This dataset provides information about the number of properties, residents, and average property values for State Highway 276 cross streets in Rockwall, TX.

This map is intended to depict physical features as they generally appear on the ground and may not be used to determine title, ownership, legal boundaries, legal jurisdiction, including jurisdiction over roads or trails, or access restrictions that may be in place on either public or private land. Obtain permission before entering private lands and check with appropriate government offices for restrictions that may apply to public lands. Lands, roads, and trails within the boundaries of a national forest may be subject to restrictions on motor vehicle use. Obtain a Motor Vehicle Use Map or inquire at the local Forest Service office for motor vehicle access information. Natural hazards may or may not be depicted on the map, and land users should exercise due caution. This map is not suitable for navigational use.