Washington State County Boundaries including Department of Natural Resources (DNR) county codes. This data is created from the WA Public Land Survey source data maintained by the DNR.WA County Boundaries Metadata
Statewide Ecopia 3 foot Land Cover (2021-2022)This raster land cover data is based off of high-resolution statewide imagery from 2021-2022. It was used by Ecopia to extract and digitize the entire state into 7 different land cover classes. Download Notes:This service can be entered into ArcGIS Pro where "Download Rasters" can be used to download approximately 20 square miles at a time. (Rt. click layer in TOC > Data > Download Rasters)Alternatively, the entire statewide 3ft dataset is available as a zipped download from here (includes colormap file): Ecopia_Statewide_3ft_Raster_TilesClasses available at bottom of this pages.Data SpecificationImagery Used for Extraction: Pixel resolution: 15 cm (6")Camera sensor: Hexagon Pushbroom (Content Mapper)Date of capture: 06/25/2021 - 08/14/2022Date of Vector Extraction: June 2023Extraction Methodology:Ecopia uses proprietary extraction and modeling software to process raw images into high-resolution land cover classifications.Quality Measurements:Measure Name - Threshold across Impervious Polygons:False Negatives <= 5% All PolygonsFalse Positives <= 5% All PolygonsValid Interpretation >= 95% All PolygonsMinimum Area 100% All PolygonsValid Geometry 100% All PolygonsMeasure Name - Threshold across Natural Polygons:False Negatives <=5% All PolygonsFalse Positives <=5% All PolygonsValid Interpretation >=90% All PolygonsMinimum Area 100% All PolygonsValid Geometry 100% All PolygonsLand Cover Classes:UnclassifiedImperviousImpervious, covered by treesShrub/low vegetationTree/forest/high vegetationOpen waterRailroadVegetation (Canopy Mapping)Tree canopy will be captured as a unique polygon layer. It can therefore overlap impervious layers.High vegetation is distinguished from low vegetation based on crown, texture, and derived height models. Leveraging stereo imagery produces results using 3D elevation models used to aid the distinction of vegetation categories. Distinguishing low from high vegetation is based on a 5m threshold, but this is not always feasible, especially in areas where heavy canopy prevents a visualization of the ground. In these circumstances, high vegetation will be given the priority over low vegetation. For more information visit: www.ecopiatech.comClasses:0: No data - Null, clear1: Unclassified2: Impervious3: Impervious, Covered by Tree Canopy6: Shrub/Low Vegetation7: Tree/Forest/High Vegetation8: Open Water12: Railroad
Click to downloadClick for metadataService URL: https://gis.dnr.wa.gov/site3/rest/services/Public_Boundaries/WADNR_PUBLIC_Cadastre_OpenData/FeatureServer/10Official Washington State boundary
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. Secondary roads are main arteries, usually in the U.S. Highway, State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not be divided, and usually have at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification Code (MTFCC) is S1200 for secondary roads.
Use this web map to link to other geospatial datasets available through county and city sites (Not comprehensive). May need to zoom in to see the participating cities. The county boundaries and city points were published by Washington State agencies and downloaded from geo.wa.gov. Locations are approximate, and no warranties are made regarding this data. The canvas basemap has been compiled by Esri and the ArcGIS user community from a variety of best available sources. Want to have your data site listed? Contact the Geospatial Program Office.
The Washington State Surface Geology Map scale at a scale of 1:24,000 geodatabase was made accessible through the Washington State Department of Natural Resources, Division of Geology and Earth Resources. The data are provided in ESRI ArcGIS 10.0 file geodatabase format (see Read Me file). The projection is in Lambert Conformal Conic, NAD83 HARN datum. Data available for download include:- One ESRI ArcGIS 10.0 geodatabase, consisting of a set of 11 feature classes, 7 relationship classes, and one geodatabase table.- Metadata for each feature class, in both XML and HTML formats (for ease of reading outside of GIS software)- One shapefile depicting the outline of Washington State.- One ArcGIS map document (ending in the .mxd extension), containing specifications for data presentation in ArcMap- One ArcGIS layer file for each feature class (ending in the .lyr extension), containing specifications for data presentation in an ArcGIS viewing application- One Geologic Map Codes document (PDF) defining the symbology used in the map.- The README file These digital data and metadata are provided as is, as available, and with all faults basis. Neither Department of Natural Resources nor any of its officials and employees makes any warranty of any kind for this information, express or implied, including but not limited to any warranties of merchantability or fitness for a particular purpose, nor shall the distribution of this information constitute any warranty. This resource was provided by the Washington State Department of Natural Resources, Division of Geology and Earth Resources and made available for distribution through the National Geothermal Data System.
state_poly: This theme shows the jurisdictional and cartographic state perimeters for Oregon and Washington.
A GIS database of geologic units and structural features in Washington, with lithology, age, data structure, and format written and arranged just like the other states.
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2022 BAS as well.
WBDHU6: This geospatial dataset represents the 3rd level (6-digit) hydrologic unit boundaries of the Watershed Boundary Dataset (WBD) layer for Washington. It was created by dissolving boundaries from the finer resolution hydrologic units to create these broader boundaries. See metadata for the wbd_wa_poly feature class for a more complete description of the WBD. USGS Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD) located here: http://pubs.usgs.gov/tm/11/a3/pdf/tm11-a3.pdf
Counties in WA State with state funding awards. For use in the State Funding Awards map.
The Digital Geologic-GIS Map of the Lake Roosevelt National Recreation Area and Vicinity, Washington is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (laro_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (laro_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (laro_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (laro_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (laro_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (laro_geology_metadata_faq.pdf). Please read the laro_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Washington Division of Earth Resources. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (laro_geology_metadata.txt or laro_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:100,000 and United States National Map Accuracy Standards features are within (horizontally) 50.8 meters or 166.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Major hydrography for Washington State represented as polygons. Features in this data set define the land extent of Washington state.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This GIS data shows the locations of WSDOT road crossings, including culverts, dams, bridges, and fishways.The GIS data contains attributes identifying location information in latitude and longitude, as well as state plane coordinates and state route and milepost. Additional attributes include indicators for fish use, barrier status, and fish species. It is a subset of data compiled and extracted from the Washington Department of Fish and Wildlife's (WDFW) Fish Passage and Diversion Screening Inventory (FPDSI) database. It includes data compiled from several WDFW and non-WDFW fish passage barrier inventory efforts.
The Washington State Parcels Project provides a statewide data set of tax parcels attributes that cover those counties that currently have digital tax parcels. Attribute data has been normalized so that the field names are the same across all counties. The data set contains the tax parcel identification number, situs addresses, the Department of Revenue land use codes, improvement and land values, and a link to the county's assessor's website for parcel information (if it exists).
Public Land Survey (PLS) Township Subdivision. The primary subdivision of a PLSS Township. It may be a PLSS Section Area, a Donation Land Claim, a PLSS Tract, or a Protracted Block.WA Public Land Survey Sections Metadata
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset is to inform WSDOT and other state agencies of a known invasive species currently found in Washington State waterways. The New Zealand Mud Snail (NZMS) has been identified in a number of locations throughout the state. If in-water work is necessary within water bodies or connecting tributaries within a two-mile radius of the documented location (latitude and longitude), all personal gear (waders, tools, instruments, etc.) and heavy equipment must be fully decontaminated before being used at any other site. Transport to a secure site for cleaning/decontamination is allowed as long as precautions are taken to avoid any dropping of mud or debris between the work site and the cleaning/decontamination location.This dataset is used as a general reference layer for geographic information systems at the Washington State Department of Transportation (WSDOT). It is maintained by the WSDOT ESO office. Updates to this dataset are on an as needed basis.
The Recreation and Conservation Office (RCO) was asked by the state Legislature to provide an inventory of lands in Washington owned by federal, state, and local governments, and by Native American tribes by July 1, 2014 (2013-15 Capital Budget proviso, Section 3174 of Engrossed Substitute Senate Bill 5035).The Public Lands Inventory focuses on natural resource and recreation lands and shows ownership (federal, by agency; state, by agency; local government, by county or city), ownership type (fee simple or assumed fee simple; aquatic, upland, or assumed upland), location, acreage, principal use (developed recreation, habitat and passive recreation, revenue generation, conservation, assumed habitat and passive recreation, other, or unknown), and the date and cost of recent acquisitions (within the past ten years).
In 2007, Washington State legislators requested a trails database, but funding to complete that statewide project was not made available at the time.In 2009, the Federal Government outlined the need for trails database schema in their Data Standards Review Committee, stressing the efficiency in management decisions that a streamlined database can provide. “The collection, storage and management of trail related data are important components of everyday business activities in many federal and state land-managing agencies, trail organizations and businesses. From a management perspective, trails data must often mesh closely with other types of infrastructure, resource and facility enterprise data.” In 2014, the Washington State Office of the Chief Information Officer's (OCIO) Geospatial Program Office acquired a Nonhighway and Off-Road Vehicle Activities (NOVA) Program grant through the Washington State Recreation and Conservation Office (RCO) giving the OCIO initial funding to develop a statewide trails database based on Federal Geographic Data Committee standards. Using the same standard for all trails data will allow land managers and recreational users throughout the state to access and use the data regardless of administrative boundary. "Data standards will make it easier for trail information to be accessed and exchanged and used by more than one individual agency or group…Ease in sharing data increases the capability for enhanced and consistent mapping, inventory, monitoring, conditions assessment, maintenance, costing, budgeting, information retrieval, and summary reporting for internal and external needs.”Along with streamlining data and facilitating efficiency in management practices across agencies, the database will provide a source of trails information that is open and free to the public. Additional details about the project can be found here: https://ocio.wa.gov/initiatives/washington-state-trails-database-project
Presents the locations of DSHS-licensed Long Term Care Adult Family Homes, Assisted Living Facilities, and Enhanced Services Facilities. Also presents the business locations of Certified Residential Service and Supports Providers and their Group Training Homes when available. The data is extracted nightly from the Washington State Department of Social and Health Services (DSHS) Aging and Long Term Support Administration's (ALTSA), Facilities Management System (FMS) and geocoded using the the Washington Master Address Services (WAMAS) address correction and geocoding tool. This is the same data that is available in the lookup tools in the Residential Care Services web site with the addition of location data columns.Current and archived records since the initial load on 3/9/2020 are provided in this dataset. Filter on GDLArchiveDate is NULL to work with only the current records.
Washington State County Boundaries including Department of Natural Resources (DNR) county codes. This data is created from the WA Public Land Survey source data maintained by the DNR.WA County Boundaries Metadata