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.

Incorporated in February 1990, the City of SeaTac is located in the Pacific Northwest, approximately midway between the cities of Seattle and Tacoma in the State of Washington. SeaTac is a vibrant community, economically strong, environmentally sensitive, and people-oriented. The City boundaries surround the Seattle-Tacoma International Airport, (approximately 3 square miles in area) which is owned and operated by the Port of Seattle. For additional information regarding the City of SeaTac, its people, or services, please visit https://www.seatacwa.gov. For additional information regarding City GIS data or maps, please visit https://www.seatacwa.gov/our-city/maps-and-gis.

This Zoning feature class is an element of the Oregon GIS Framework statewide, Zoning spatial data. This version is authorized for public use. Attributes include zoning districts that have been generalized to state classes. As of June 30, 2023, this feature class contains zoning data from 229 local jurisdictions. DLCD plans to continue adding to and updating this statewide zoning dataset as they receive zoning information from the local jurisdictions. Jurisdictions included in the latest version of the statewide zoning geodatabase: Cities: Adams, Adrian, Albany, Amity, Antelope, Ashland, Astoria, Athena, Aurora, Banks, Barlow, Bay City, Beaverton, Bend, Boardman, Bonanza, Brookings, Brownsville, Burns, Butte Falls, Canby, Cannon Beach, Carlton, Cascade Locks, Cave Junction, Central Point, Chiloquin, Coburg, Columbia City, Coos Bay, Cornelius, Corvallis, Cottage Grove, Creswell, Culver, Dayton, Detroit, Donald, Drain, Dufur, Dundee, Dunes City, Durham, Eagle Point, Echo, Enterprise, Estacada, Eugene, Fairview, Falls City, Florence, Forest Grove, Fossil, Garibaldi, Gaston, Gates, Gearhart, Gervais, Gladstone, Gold Beach, Gold Hill, Grants Pass, Grass Valley, Gresham, Halsey, Happy Valley, Harrisburg, Helix, Hermiston, Hillsboro, Hines, Hood River, Hubbard, Idanha, Independence, Jacksonville, Jefferson, Johnson City, Jordan Valley, Junction City, Keizer, King City, Klamath Falls, La Grande, La Pine, Lafayette, Lake Oswego, Lebanon, Lincoln City, Lowell, Lyons, Madras, Malin, Manzanita, Maupin, Maywood Park, McMinnville, Medford, Merrill, Metolius, Mill City, Millersburg, Milton-Freewater, Milwaukie, Mitchell, Molalla, Monmouth, Moro, Mosier, Mount Angel, Myrtle Creek, Myrtle Point, Nehalem, Newberg, Newport, North Bend, North Plains, Nyssa, Oakridge, Ontario, Oregon City, Pendleton, Philomath, Phoenix, Pilot Rock, Port Orford, Portland, Prescott, Prineville, Rainier, Redmond, Reedsport, Rivergrove, Rockaway Beach, Rogue River, Roseburg, Rufus, Saint Helens, Salem, Sandy, Scappoose, Scio, Scotts Mills, Seaside, Shady Cove, Shaniko, Sheridan, Sherwood, Silverton, Sisters, Sodaville, Spray, Springfield, Stanfield, Stayton, Sublimity, Sutherlin, Sweet Home, Talent, Tangent, The Dalles, Tigard, Tillamook, Toledo, Troutdale, Tualatin, Turner, Ukiah, Umatilla, Vale, Veneta, Vernonia, Warrenton, Wasco, Waterloo, West Linn, Westfir, Weston, Wheeler, Willamina, Wilsonville, Winston, Wood Village, Woodburn, Yamhill. Counties: Baker County, Benton County, Clackamas County, Clatsop County, Columbia County, Coos County, Crook County, Curry County, Deschutes County, Douglas County, Harney County, Hood River County, Jackson County, Jefferson County, Josephine County, Klamath County, Lane County, Lincoln County, Linn County, Malheur County, Marion County, Multnomah County, Polk County, Sherman County, Tillamook County, Umatilla County, Union County, Wasco County, Washington County, Wheeler County, Yamhill County. R emaining jurisdictions either chose not to share data to incorporate into the public, statewide dataset or did not respond to DLCD’s request for data. These jurisdictions’ attributes are designated “not shared” in the orZDesc field and “NS” in the orZCode field.

This data set was developed as an information layer for the Washington State Department of Commerce. It is designed to be used as part of the Puget Sound Mapping Project to provide a generalized and standardized depiction of land uses and growth throughout the Puget Sound region.

This map represents land uses, zoning abbreviations and zoning descriptions. Zoning data was collected in raster format and digitized by State Department of Commerce staff. The generalized depiction of intended future land use is based primarily upon 2012 zoning and 2010 assessor's records.NOTE: Because this is a large dataset, some geoprocessing operations (i.e. dissolve) may not work on the entire dataset. You will receive a topoengine error. Clipping out an area of interest (i.e. a county) and performing the operation on it instead of on the full dataset is a way to get around this software limitation.

This map utilizes a simplified viewing layer of Taxlots 2 (Public), with any Personally Identifiable Information removed. Popups for parcels provide web links to Vancouver Municipal Code (VMC) statute definitions of the zoning classification of the parcel as well as zoning code and class information.Zoning categories are grouped by City of Vancouver Comprehensive Plan designations, and relate to allowable activities and uses of land and property parcels as defined in the VMC.

Accurate evaluation of riparian forests depends on precise delineation of both bank to bank (active channel) and single-thread hydrography. Local land use and salmon recovery planners use hydrography as a reliable tool for understanding and managing watershed impacts across the state. Active channel mapping allows practitioners to delineate riparian zones, examine the shading effects of riparian vegetation, map the location, extent, and distribution of anadromous and resident fish as well as locate fish blocking culverts, map protective stream buffers, and accurately inventory existing hydrography (Hyatt et al, 2022).The manual provided in this package describes methods and procedures used to digitize active channel polygons from high resolution elevation data and high-resolution imagery. Methods like this have become necessary, as access to high resolution data has become easier. Included in this method is AC Tools, a Python script-based ArcGIS Pro Toolset that can be used to delineate channel bank and channel island contour lines along river mainstems and larger tributaries. Much of the method involves how to select those contours and create active channel polygons. Methods are also available for download at https://pspwa.box.com/s/3stokaav635odvd8k2dtkcigef5sbkr2Pilot results of this methodology were conducted in Stillaguamish, Queets, and the Entiat River, and are available at the Puget Sound Partnerships Spatial Data Hub.

Active Channel HydrographyThe “active channel” includes the wetted channels of rivers and streams as well as adjacent un-vegetated cobble and gravel bars that are inundated during high flows. In this method, the active channel is analogous to the “bankfull channel” (Leopold and Maddock 1953, Leopold et al 1964, Williams 1978) or the ordinary high-water mark line (OHWM), where the presence and action of waters are “so common and usual, and so long continued in ordinary years as to mark upon the soil or vegetation a character distinct from the abutting upland,”(WAC 220-660-030(111)). In places where this line cannot the delineated the ordinary high water line is delineated along the elevation of the mean annual flood for every three years.

There are many reasons for considering the boundary of the active channel network. A common use for delineating the active channel is to map the inner edge of the riparian zone (eg. Hyatt 2023). Riparian areas are transitional areas between land and aquatic ecosystems that include both lotic and lentic systems (Gregory et al, 1991). These zones can include the surface and subsurface water influences and human induced natural forces, understanding the active channel boundary thereby isn’t just important for managing fish populations and identifying habitat restoration sites, it is also important for land use planning and management.

This data set was developed as an information layer for the Washington State Department of Commerce. It is designed to be used as part of the Puget Sound Mapping Project to provide a generalized and standardized depiction of land uses and growth throughout the Puget Sound region.NOTE: Because this is a large dataset, some geoprocessing operations (i.e. dissolve) may not work on the entire dataset. You will receive a topoengine error. Clipping out an area of interest (i.e. a county) and performing the operation on it instead of on the full dataset is a way to get around this software limitation.

This polygon feature contains geographic and attribute information for the purpose of depicting Zoning Areas within the City of SeaTac, Washington. Last updated December 5, 2018.

Description

This polygon feature contains geographic and attribute information for the purpose of depicting Zoning Areas within the City of SeaTac, Washington. The data was compiled from existing zoning information and King County parcel data.To implement the SeaTac Comprehensive Plan's policies and objectives and the goals of the State Growth Management Act (GMA); To protect health, safety, and general welfare; To provide for the economic, social, and aesthetic advantages of orderly development and redevelopment through harmonious groupings of compatible and complementary land uses and the application of appropriate development standards; To provide for adequate public facilities and services in conjunction with development; To ensure public safety by restricting development of lands containing physical hazards and to minimize the adverse environmental impacts of development; and To ensure that land use decisions are made in accordance with the public interest and applicable laws of the State of Washington, including the Growth Management Act and subsequent amendments (Ord. 92-1041 --1)Updates to Zoning were made per Ordinance 18-1005, data was updated 3/28/2018.Updates to the Zoning were made per ORD17-1022, data was updated December 2017.Last amended in December 2015.The change to Angle Lake District Area Boundary was adopted on July 9th, 2015 (Ord. 15-1010).UL-5000 was changed to High Density Single Family Overlay Zone (HDS-OZ) on Nov 10, 2015.Segale properties were rezoned to UH-900 on Dec 8, 2015.Pursuant to Article XI, Section 11 of Washington State Constitution (Ord. 92-1041 -- 1). Zoning boundaries have been adjusted to line up with King County Assessor parcel lines that were improved in 2006 and 2007. Slivers and gaps will appear if this zoning layer is overlaid with historical zoning layers. The geometry of this data derives from KC parcel data which is updated quarterly. Then it was intersected with the existing zoning data to trasfer the attribute.Incorporated in February 1990, the City of SeaTac is located in the Pacific Northwest, approximately midway between the cities of Seattle and Tacoma in the State of Washington. SeaTac is a vibrant community, economically strong, environmentally sensitive, and people-oriented. The City boundaries surround the Seattle-Tacoma International Airport, (approximately 3 square miles in area) which is owned and operated by the Port of Seattle. For additional information regarding the City of SeaTac, its people, or services, please visit https://www.seatacwa.gov. For additional information regarding City GIS data or maps, please visit https://www.seatacwa.gov/our-city/maps-and-gis.

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

These are products of the Soil and Landscape Grid of Australia Facility generated through disaggregation of the Western Australian soil mapping. There are 9 soil attribute products available from the Soil Facility: Available Water Holding Capacity - Volumetric (AWC); Bulk Density - Whole Earth (BDw); Bulk Density - Fine Earth (BDf); Clay (CLY); Course Fragments (CFG); Electrical Conductivity (ECD); pH Water (pHw); Sand (SND); Silt (SLT).

Each soil attribute product is a collection of 6 depth slices. Each depth raster has an upper and lower uncertainty limit raster associated with it. The depths provided are 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm & 100-200cm, consistent with the Specifications of the GlobalSoilMap.

The DSMART tool (Odgers et al. 2014) tool was used in a downscaling process to translate legacy soil landscape mapping to 3” resolution (approx. 100m cell size) raster predictions of soil classes (Holmes et al. Submitted). The soil class maps were then used to produce corresponding soil property surfaces using the PROPR tool (Odgers et al. 2015; Odgers et al. Submitted). Legacy mapping was compiled for the state of WA from surveys ranging in map scale from 1:20,000 to 1:2,000,000 (Schoknecht et al., 2004). The polygons are attributed with the soils and proportions of soils within polygons however individual soils were not explicitly spatially defined. These new disaggregated map products aim to incorporate expert soil surveyor knowledge embodied in legacy polygon soil maps, while providing re-interpreted soil spatial information at a scale that is more suited to on-ground decision making.

Note: The DSMART-derived dissagregated legacy soil mapping products provide different spatial predictions of soil properties to the national TERN Soil Grid products derived by Cubist (data mining) and kriging based on site data by Viscarra Rossel et al. (Submitted). Where they overlap, the national prediction layers and DSMART products can be considered complementary predictions. They will offer varying spatial reliability (/ uncertainty) depending on the availability of representative site data (for national predictions) and the scale and expertise of legacy mapping. The national predictions and DSMART disaggregated layers have also been merged as a means to present the best available (lowest statistical uncertainty) data from both products (Clifford et al. In Prep).

Previous versions of this collection contained Depths layers. These have been removed as the units do not comply with Global Soil Map specifications. Lineage: The soil attribute maps are generated using novel spatial modelling and digital soil mapping techniques to disaggregate legacy soil mapping.

Legacy soil mapping: Polygon-based soil mapping for Western Australia’s agricultural zone was developed via WA’s Department of Agriculture and Food (Schoknecht et al., 2004). Seventy-three soil classes (termed ‘WA soil groups’ Schoknecht and Pathan, 2013) have been defined to capture the range of variation in soil profiles across this area. While legacy soil mapping does not explicitly map the distribution of these soil classes, estimates of their percentage composition and associated soil properties are available for each soil landscape map unit (polygon).

Disaggregation of soil classes: The DSMART algorithm (version 1, described in Odgers et al. 2014) was used to produce fine-resolution raster predictions for the probability of occurrence of each soil class. This uses random virtual sampling within each map unit (with sampling weighted by the expected proportions of each soil class) to build predictions for the distribution of soil classes based on relationships with environmental covariate layers (e.g. elevation, terrain attributes, climate, remote sensing vegetation indices, radiometrics). The algorithm was run 100 times then averaged to create probabilistic estimates for soil class spatial distributions.

Soil property predictions: The PROPR algorithm (Odgers et al. 2015) was used to generate soil property maps (and their associated uncertainty) using reference soil property data and the soil class probability maps create through the above DSMART disaggregation step.

Western Australia’s expert defined typical range of soil properties by soil class was used to provide reference soil properties to PROPR. These estimates were made separately for each physiographic zone across WA, and are based on available profile data and surveyor experience. Uncertainty bounds were determined by the minimum and maximum soil properties at the ‘qualified soil group’ level, and the property value of the most common soil in the map unit was used to define the typical soil property. This methodology was previously developed to meet the specifications of McKenzie et al. (2012) and provides expert soil surveyor estimates for map unit area composition and representative profile properties. Depth averaging was applied to the regional variant profile data to obtain property values at the specified GlobalSoilMap depth intervals. Then area-weighted soil property averages were calculated for each subgroup soil class. This process is documented further in Odgers et al. (Submitted).

These data are part of a larger USGS project to develop an updated geospatial database of mines, mineral deposits and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, are currently being digitized on a state-by-state basis from the 7.5-minute (1:24,000-scale) and the 15-minute (1:48,000 and 1:62,500-scale) archive of the USGS Historical Topographic Maps Collection, or acquired from available databases (California and Nevada, 1:24,000-scale only). Compilation of these features is the first phase in capturing accurate locations and general information about features related to mineral resource exploration and extraction across the U.S. To date, the compilation of 500,000-plus point and polygon mine symbols from approximately 67,000 maps of 22 western states has been completed: Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Idaho (ID), Iowa (IA), Kansas (KS), Louisiana (LA), Minnesota (MN), Missouri (MO), Montana (MT), North Dakota (ND), Nebraska (NE), New Mexico (NM), Nevada (NV), Oklahoma (OK), Oregon (OR), South Dakota (SD), Texas (TX), Utah (UT), Washington (WA), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the western U.S., but an approximate time line of when these activities occurred. The data may be used for land use planning, assessing abandoned mine lands and mine-related environmental impacts, assessing the value of mineral resources from Federal, State and private lands, and mapping mineralized areas and systems for input into the land management process. The data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.

Uses zoning regulations for City of Vancouver and Washington State related to zoning of cannabis retail and production facilities to create an interactive map showing properties within the City Limits that may potentially be available for application to be a site for marijuana-related business. Uses property information layers from Clark County GIS, business information data from the State of Washington Office of Finance, and regulations defined in City code to create layers found in the underlying map (of the same name). For more information, please see Recreational and Medical Marijuana in Vancouver -The City of Vancouver, WA

Land use categories as set out in “Aboriginal Settlements Guideline". Refer to https://www.dplh.wa.gov.au/policy-and-legislation/state-planning-framework/fact-sheets,-manuals-and-guidelines/spp-3-2-aboriginal-settlement-guideline for further detail. The list of current layout plans and pdfs can be found at https://www.dplh.wa.gov.au/information-and-services/state-planning/aboriginal-communities/aboriginal-community-maps. Show full description

This dataset contains bibliographic records and persistent URLs for the digitised maps held within the State Library of Western Australia’s map collection, including cadastral and town-site maps across the state of Western Australia. The maps range from the early 1840s to the mid-1980s and include land use, zoning, lot numbers, boundary measurements, terms of sale, and locality plans; as well as distances from utilities, landmarks and businesses. Highlights include the Lindsay J. Peet Collection of Cadastral Maps; town-site maps from the WA Department of Lands and Surveys; the Australia Soviet Military City Plans, Perth; and the Polus Antarticus states, which show the South Pole and Australia prior to the discoveries of Tasman in 1642 and 1643-44. This set also includes the Historic map series 1880-1890 which has been captured as its own dataset.

This data set is the Kitsap County Zoning Designations. Kitsap County Comprehensive Planning Map Series This map represents the Land Use Map for Kitsap County's Comprehensive Plan as approved by the Kitsap County Board of Commissioners for submittal to the State of Washington pursuant to the Washington State Growth Management Act (RCW 36.70A) on May 7, 1998. The shaded land use designations are defined in the text of the Land Use Element available from the Department of Community Development. NOTE: This map was developed for general land use planning purposes. The user of this map must assume responsibility for determining its suitability for other purposes. Amendments: February 8, 1999 Forest Resource Lands; April 19, 1999 Suquamish Rural Village; May 10, 1999 Modified Joint Planning Area; July 21, 1999 Port Gamble Rural Historic Town; June 10, 2002 Manchester Community Plan; June 10, 2002 Ord No. 274-2002 (Comp Plan Amendments); September 8, 2003 Res No. 168-2003 (Map Corrections); December 8, 2003 Ord No. 311-2003 (Comp Plan Amendments); October 25, 2004 George's Corner Commercial LAMIRD; October 25, 2004 Ord No. 326-2004 (Comp Plan Amendments); December 22, 2005 Ord No. 352-2005 (Comp Plan Amendments); December 11, 2006 Ord No. 370-2006 (10-Year Update); June 11, 2007 Ord No. 384-2007 Repeal of Urban Holding Zone (UHA); November 19, 2007 Ord No. 402-2007 Keyport LAMIRD; December 31, 2007 Ord No. 405-2007 Comprehensive Plan Amendments; October 13, 2008 Ord No. 414-2008 Comprehensive Plan/Zoning Amendments; December 23, 2008 Ord No. 420-2008 Comprehensive Plan/Zoning Amendments; December 14, 2009 Ord No. 443-2009 Comprehensive Plan/Zoning Amendments; December 15, 2010 Ord No. 467-2010 Comprehensive Plan/Zoning Amendments; December 15, 2010 Ord No. 467-2010 Type III LAMIRDS; August 31, 2012 Ord No. 493-2012 Urban Growth Area - Remand; January 15, 2014 Ord No. 511-2013 Gorst Watershed Plan; June 30, 2016 Ord No, 534-2016 Comprehensive Plan 10-year update; March 12, 2018 Ord No. 553-2018 Rezone; December 10, 2018 Ord No. 565-2018 Comprehensive Plan/Zoning Amendments; November 25, 2019 Ord No. 583-2019 Comprehensive Plan/Zoning Amendment (Repeal of 565-2018); April 27, 2020 Ord No. 587-2020 Comprehensive Plan/Zoning Amendments; November 21, 2021 Ord No. 603-2021 Comprehensive Plan/Zoning Amendments; December 13, 2021 Res No. 232-2021 Development Agreement/Zoning Amendments; January 10, 2022 Ord No. 609-2022 Comprehensive Plan/Zoning Amendments; April 14, 2022 Ord No. 612-2022, Comprehensive Plan/Zoning Amendments; November 13, 2023 Ord No. 628-2023 Rezone

This polygon feature contains geographic and attribute information for the purpose of depicting Zoning Areas within the City of SeaTac, Washington. The data was compiled from existing zoning information and King County parcel data.To implement the SeaTac Comprehensive Plan's policies and objectives and the goals of the State Growth Management Act (GMA); To protect health, safety, and general welfare; To provide for the economic, social, and aesthetic advantages of orderly development and redevelopment through harmonious groupings of compatible and complementary land uses and the application of appropriate development standards; To provide for adequate public facilities and services in conjunction with development; To ensure public safety by restricting development of lands containing physical hazards and to minimize the adverse environmental impacts of development; and To ensure that land use decisions are made in accordance with the public interest and applicable laws of the State of Washington, including the Growth Management Act and subsequent amendments (Ord. 92-1041 --1)Update of portion of PIN 3423049008 (Neighborhood Business to UH-900) and PIN 1522049031 (UL-15,000 to Community Business) as per Ord19-1026 and Ord19-1027 effective 1/1/2020.Updates to Zoning were made per Ordinance 18-1005, data was updated 3/28/2018.Updates to the Zoning were made per ORD17-1022, data was updated December 2017.Last amended in December 2015.The change to Angle Lake District Area Boundary was adopted on July 9th, 2015 (Ord. 15-1010).UL-5000 was changed to High Density Single Family Overlay Zone (HDS-OZ) on Nov 10, 2015.Segale properties were rezoned to UH-900 on Dec 8, 2015.Pursuant to Article XI, Section 11 of Washington State Constitution (Ord. 92-1041 -- 1). Zoning boundaries have been adjusted to line up with King County Assessor parcel lines that were improved in 2006 and 2007. Slivers and gaps will appear if this zoning layer is overlaid with historical zoning layers. The geometry of this data derives from KC parcel data which is updated quarterly. Then it was intersected with the existing zoning data to trasfer the attribute. The update tool is located in:

Washington State’s Growth Management Act (GMA) (chapter 36.70A RCW) requires the development of a comprehensive plan. Comprehensive Plan {https://www.snohomishcountywa.gov/2139/Comprehensive-Plan} changes are voted on once per year by the Snohomish County Council, with recommendations given by the Planning Commission, Public comments, and the Department of Planning and Development Services (PDS).The Comprehensive Plan serves as the document that guides County decisions and services on a wide range of topics, including: land use, transportation, parks, housing, capital facilities and the natural environment. The Comprehensive Plan consists of five components:The General Policy Plan consists of goals, objectives and policies that serve as a guide to the county’s growth and development.The Future Land Use Map (PDF) expresses graphically the 20-year vision of the preferred land use pattern. It identifies the urban growth areas around cities and towns, as well as urban, rural, and resource lands. The map is implemented through numerous zoning classifications and development regulations.The Transportation Element presents a plan for transportation facilities and services to support the needs of the projected populations.The Capital Facilities Plan (PDF) contains an inventory of the county’s public facilities and utilities, establishes level of service standards necessary to support development, and prioritizes facilities needed to support the needs of the projected populations.The Park and Recreation Element presents a plan for park and recreation facilities and services to support the needs of the projected populations.Outside of the periodic update cycle, less extensive revisions are allowed through the docketing process and County-initiated amendment proposals. Information on current and past proposals, and to find out about submitting an amendment to the Comprehensive Plan can be obtained from the Docket and County-Initiated Amendments web page.

This polygon feature contains geographic and attribute information for the purpose of depicting Comprehensive Plan Areas within the City of SeaTac, Washington. The data was compiled from existing comprehensive plan information and King County parcel data.This data layer is a reflection of the comprehensive plan that indicates how the City wants to grow and function in the future. The source document contains broad statements of community goals and policies, as well as specific steps for achieving them. The City of SeaTac Comprehensive Plan serves as a "blueprint" for how SeaTac can achieve its vision for itself over the next 20 to 26 years. The Comprehensive Plan will provide the legal basis for future zoning and other implementation measures.City of SeaTac Comprehensive Plan as prepared and adopted by the SeaTac City Council.Last amended in June 23, 2015 (Ord. 15-1009).The change to Angle Lake District Area Boundary was adopted on July 9th, 2015 (Ord. 15-1010).The Washington Growth management Act (GMA) mandates that cities in high growth areas, like Puget Sound region, prepare and adopt comprehensive plans that are consistent with the GMA. The content was last modified in Dec 2013. Boundaries were updated based on parcel data from 02/13/2015, to reflect changes in ROWs and Parcel line, etc. Comprehensive plan boundaries have been adjusted to line up with King County Assessor parcel lines that were improved in 2006 and 2007. Slivers and gaps will appear if this comprehensive plan layer is overlaid with historical parcel, zoning, or comprehensive plan layers. The geometry of this data derives from KC parcel data which is updated quarterly. Then it was intersected with the existing Comprehensive Plan data to transfer the attribute.Incorporated in February 1990, the City of SeaTac is located in the Pacific Northwest, approximately midway between the cities of Seattle and Tacoma in the State of Washington. SeaTac is a vibrant community, economically strong, environmentally sensitive, and people-oriented. The City boundaries surround the Seattle-Tacoma International Airport, (approximately 3 square miles in area) which is owned and operated by the Port of Seattle. For additional information regarding the City of SeaTac, its people, or services, please visit https://www.seatacwa.gov. For additional information regarding City GIS data or maps, please visit https://www.seatacwa.gov/our-city/maps-and-gis.

This feature class shows locations of the historic places within incorporated City of Puyallup. It is Tax Parcel polygon based feature class of historic places that are listed on either the National, Washington State, Pierce County Historical Register or the City of Puyallup's (registry) historical preservation program.Ordinance #2986, effective September 11, 2011 established the City of Puyallup Register of Historic Places. Buildings placed on the Puyallup Register are included in this shapefile and are denoted as such. These properties also have a 'zone designation' of HR and are mapped on the City's Official Zoning Map found in City Hall. They are also noted on the online zoning map book.