Vector polygon map data of mile markers from the state of California containing 157892 features.

Mile marker GIS data consists of points along a linear feature, such as roads or railways. They serve as reference points to measure distances along these features. Mile markers are often labeled with numbers indicating their distance from a starting point, such as a highway's origin or a railway station.

These markers are invaluable for navigation, route planning, emergency response, and data collection. For example, they help drivers and emergency services identify their location precisely on a road. In transportation planning, mile markers aid in analyzing traffic patterns, determining optimal routes, and estimating travel times. Additionally, they facilitate maintenance activities by providing clear reference points for inspecting and repairing infrastructure.

This data is available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

The purpose of this data set is to provide a geographic representation of the location of each state mile marker sign in the Commonwealth, and is to be used in a number of other products and projects. The locations of state mile marker signs on interstates and primary routes are important sources for various traffic studies as well as information for travelers. This GIS layer displays the locations and corresponding information of state mile marker signs. The signs may have been placed close but not exactly at the mile point due to geographic restrictions.Attribute NameContentsFIDInternal Feature NumberShapeFeature GeometryHTRISDEFHTRIS Definition in the Roadway InventoryROADSIDELocations of Mile Marker Posts (Right, Left, or Median)LATITUDEGPS latitude for each Mile Marker point in decimal degreesLONGITUDEGPS longitude for each Mile Marker point in decimal degreesSIGNSTYLE0: Small & Non-MUTCD Compliant, 1: MUTCD Standard (D10-1, D10-2 or D10-3), 2: MUTCD Enhanced (D10-4 or D10-5)SIGNVALUENumeric Value from the Sign Text except NULL, -1, and -2 valuesSIGNTEXTFull Sign TextM_JURISDICMaintenance Jurisdiction Code

In general, the mile markers are measured from west to east and south to north. Such as I-10 starting in Escambia County, bordering Alabama, with mile marker 1 then increases eastward. And for I-95 from Miami-Dade County starting with mile marker 1 then increases northward. The data is refreshed weekly and changes are made by the District Offices who are responsible to collect and upkeep the data. This data may also be collected for call boxes that are located at integral milepoints instead of the usual mile marker signs. This data is required for all interstate, tolled or non-tolled expressway facilities, and US routes. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 11/01/2025.For more details please review the FDOT RCI Handbook Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/milemarkers.zip

Part of the emergency response facilities layers, the mile markers contribute to emergency response. This is a point layer featuring the mile marker locations on the highways throughout the county. The data was last updated in 2014 and is not maintained by SCGIS. Mile markers on highways provide a more precise location during emergencies. Those seeking emergency assistance on a highway can report to dispatchers the closest mile marker and help get a faster response.

Geospatial data about Montana Mile Markers. Export to CAD, GIS, PDF, CSV and access via API.

Reference Post locations on the Nebraska Highways.

Vector polygon map data of mile markers from the State of Utah containing 5758 features.

Mile marker GIS data consists of points along a linear feature, such as roads or railways. They serve as reference points to measure distances along these features. Mile markers are often labeled with numbers indicating their distance from a starting point, such as a highway's origin or a railway station.

These markers are invaluable for navigation, route planning, emergency response, and data collection. For example, they help drivers and emergency services identify their location precisely on a road. In transportation planning, mile markers aid in analyzing traffic patterns, determining optimal routes, and estimating travel times. Additionally, they facilitate maintenance activities by providing clear reference points for inspecting and repairing infrastructure.

This data is available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

November 2016

Point file representing the Interstate mile markers in Indianapolis and Marion County, Indiana.Data projection: NAD 1983 StatePlane Indiana East FIPS 1301 (US Feet)

Geospatial data about Ohio River Mile Markers. Export to CAD, GIS, PDF, CSV and access via API.

[Metadata] DOT Road Inventory (Mile Markers) for the main Hawaiian Islands from the Hawaii State DOT 2023 Road Inventory Survey.Source: Received from State of Hawaii Dept. of Transportation, September 2024.Note: Mileage displayed on the mile marker sign may not match the route mileage.For additional information, please refer to complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/mile_markers_sdot.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

DescriptionPoint geographic dataset representing the location along a CDOT highway where that highway's linear reference system indicates a whole number reference point.Please note, mile posts are not necessarily found at milepoints. Last Update2024Update FrequencyAs neededData OwnerDivision of Transportation DevelopmentData ContactGIS Support UnitCollection Method ProjectionNAD83 / UTM zone 13NCoverage AreaStatewideTemporal Disclaimer/LimitationsThere are no restrictions and legal prerequisites for using the data set. The State of Colorado assumes no liability relating to the completeness, correctness, or fitness for use of this data.

Mile Marker was derived from the Flat Sheet Sign feature layer. This dataset contains single points representing the flat sheet signs located on interstates, ramps, state routes, TDOT maintained state park roads, and locally owned NHS routes in Tennessee. This dataset can be queried by either location information, mounting type, sign orientation, sign type, visual condition, or MUTCD code. These records were derived from vehicle mounted LiDAR sensors and digitally captured photos. This information was collected by Mandli Communications, Inc. under the direction of the Asset Management Division and the Long Range Planning Division. Questions on this dataset should be directed to TDOT.Maint.AssetManagement@tn.gov.

This is a point data set of 1/10th milepost markers for trails along the Boise River from Lucky Peak Dam to the current terminus within the City of Eagle. The trails along the Boise River are generally referred to as ‘the greenbelt’. The milepost markers along the Boise River are collectively known as the Distance and Orientation Trail System (DOTS). Mileposts are a series of numbered markers placed along a route at regular intervals used as reference points. The DOTS divides the greenbelt trails into quadrants; north and south side of the Boise River, and east or west of the origin at the 8th Street pedestrian bridge in Boise, Idaho. Milepost identification is comprised of the quadrant or sector (i.e. NW for northwest, SW for southwest, NE for northeast, and SE for southeast) and a mileage (in tenths of a mile). For example, NE 3.1, indicates the north side of the river, and east of the 8th Street pedestrian bridge by 3.1 miles. There are several known exceptions to this convention. The milepost origin for the north and south trail origins are simply delineated by ‘N’ and ‘S’. Also, several mileposts are marked with a ‘W’ for West where the north and south trails converge. Mileage numbers increase as you move east and west from the 8th Street pedestrian bridge. Milepost markers are not always physically marked on the ground. This data set shows mileposts along the trail centerline and is not meant to represent the physical demarcation of the mileposts. Physical markers, if they exist, will be relatively nearby the point defined in this data set.This data set was created by City of Boise GIS team in cooperation with Boise State University based off of GPS data and heads up digitizing against available GIS trail and orthophotography data. The data has been reviewed by parks, police, and fire staff from several local agencies in Ada County. The data is believed to be generally accurate. This data set is updated irregularly as new GPS data is collected or as changes to the trail system in different jurisdictions occur. The data set is current to the last date of publication.For more information about the Boise River Greenbelt, please visit City of Boise Parks and Recreation.

The FRA Milepost is a spatial file that originates of multiple sources and contains point locations of mileposts along the FRA's rail network. The mileposts was developed from varies sources and should only be used as a reference file. The railroad lines and their mileposts are privately owned and are subjected of changed based on the rail owner. If used for identifying specific locations, please contact the railroad to verify the mileposts numbers and their locations.

Reference posts (often called Mile Post or Mile Markers) are green numbered signs along the side of a highway roughly a mile apart for traveler reference.

Check other metadata records in this package for more information on Highway Reference Post Information.


Link to ESRI Feature Service:

Highway Reference Posts in Minnesota: Highway Reference Posts

Wildlife carcasses recorded by Montana Department of Transportation, Idaho Department of Fish & Game, and U.S. Fish & Wildlife Service were aggregated to the nearest mile marker for major roads of the U.S. Northern Rockies. WGA connectivity flowlines were intersected with the road network and attributed to the nearest mile marker, along with their connectivity ranking, which indicates their expected relative importance to maintaining westwide connectivity. Values for potential risk factors, including average annual daily traffic (AADT), functional class, number of lanes, road surface width, landscape condition of surrounding habitat, ruggedness of surrounding landscape, and topographic position relative to surrounding landscape, were also attributed to mile markers. Landscape condition and topographic variables were calculated based on values observed within a half-mile radius of the focal mile marker. Landscape condition, an index of the degree of human modification of the landscape, is hypothesized to affect the likelihood of animals moving through adjacent habitat and attempting to cross the road at a particular site. Ruggedness (calculated as the standard deviation of slope values within a focal area) and topographic position (defined as the elevation of the focal point minus the mean elevation within a surrounding focal area, resulting in high values attributed to peaks and low values attributed to canyon bottoms) are expected to affect driver visibility from a particular site.Note that wildlife carcass collection and reporting protocols and frequency differ between states and among maintenance sections within states. Relative carcass counts should therefore be used only to explore general patterns and not for statistical inference.

This dataset provides the results of spatial surveys of aqueous geochemistry conducted at Teller Road Site, Seward Peninsula, Alaska. Surface water and soil pore water samples were collected from multiple depth within the active layer at designated Intensive Stations 2 through 9 at the Teller Road MM 27 Site (TL_MM27). Reported analytes include dissolved methane and carbon dioxide, dissolved organic and inorganic carbon, major inorganic anions, and major and minor cations. Samples and measurements were collected from 2016-2018. Specifically, samples were collected in September of 2016, August and September of 2017, and August of 2018. Most of the samples were collected from piezometers installed at various depths within the active layer (70 cm max). A few are surface water grab samples. Data are provided in a single comma separated (.xlsx / .csv) file.One supplemental file is also included. It provides the results of a limited set of analyses (dissolved methane and carbon dioxide and Fe(II)) on surface and soil pore water samples collected at Teller (TL_MM27) and Council (CN_MM71) locations in September 2019.The metadata and data are draft with outstanding clarifications and additions to come.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy?s Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy?s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).

Geophysical surveys were conducted at the NGEE Arctic Teller mile marker 27 site, Teller mile marker 47 site, and Kougarok mile marker 64 site during the summers of 2018, 2019, and 2021. Additional data was collected at Teller mile marker 47 during September 2021 and August 2022. These surveys were used to identify locations of near-surface permafrost during the period of maximum seasonal thaw depth for ground truth data used in machine learning predictions of near-surface permafrost extent at each site. This dataset contains CSV files of ground truth observations of near-permafrost presence or absence for each site, where PF = 1 indicates permafrost presence and PF = 0 indicates permafrost absence. The dataset also includes 2 sets of binary rasters (WGS84 UTM zone 3) of permafrost extent for each site using 1) all of the training data and 2) the transferred model. For both sets of rasters, 0 = non-permafrost and 1 = permafrost. Included are 6 *.tif files and 5 *.csv files that include a data dictionary (dd.csv) and file-level metadata (flmd.csv). This dataset is in support of the paper "Machine learning-derived high-resolution maps of near-surface permafrost for three watersheds on the Seward Peninsula, Alaska" that is in review (May 2023). The Next-Generation Experiments: Arctic (NGEE Arctic), a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).