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.

Table from the American Community Survey (ACS) 5-year series for King County and City of Seattle median values for a variety of topics including age, gross rent, monthly owner costs, family and nonfamily incomes, earnings. Includes the margin of error for the values.

Parcel Viewer makes searching for King County parcel information easy. You can search by address, search by parcel number, or you can just zoom in on the map and click on a parcel. Once a parcel is selected, you will get direct links to the King County Assessor’s eReal Property report and the Districts and Development Conditions report.

An application (https://maps.seattle.gov/ACS-Neighborhood-Profiles) that presents U.S. Census Bureau 5-year American Community Survey data for census tracts in King County, Washington. Presented in a dashboard format with selectors for different time periods and levels of geographies, these snapshots are a curated set of data grouped into 12 topical profiles. Data is pulled from the demographic profiles DP02-DP05 and several supplemental tables for multiple nonoverlapping vintages starting in 2006-2010 and shown by the corresponding census tract vintage. Also includes the most recent release annually (usually released in December for the previous year) with the vintage identified in the "ACS Vintage" field. Use caution when looking at the most recent year as some data in the sample are the same as in the five-year period just prior.Data is presented in charts and graphs for pre-defined geographies as well as custom selection of census tracts either from a list or by selecting tracts on the map (shift-click to select multiple tracts). The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. Charts allow downloading of the summarized data shown in the chart.The City of Seattle geography does not include the small portions of tracts 263, 264, 265, so city totals will vary slightly from published Census Bureau numbers.Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves. Get all the data for these profiles from SeattleGeoData. The full range of data products from the U.S. Census Bureau can be found by visiting the online data portal Explore Census Data.Interested in mapping the ACS? Check out this gallery for mapping apps and other census related dashboards.Important notes: ACS estimates are based on a survey mailed to a small percentage of houeholds and may carry substantial margins of error for small geographic areas or population groups. The margin of error (MOE) is an indicator of the reliability of the ACS estimate. Please see the Census Bureau guidance on calculating ....can't find something easy to link to....The 2010 and 2015 ACS vintages use the 2010 census tracts. The years 2020 and beyond use the 2020 census tracts. There were a significant number of new tracts created in 2020 so please use caution when comparing at the tract level between those time periods.Medians for aggregated areas are the weighted averages of the medians for the tracts selected.Monetary values are inflation-adjusted to the vintage year.Housing characteristics may not match other sources of housing data such as the King County Assessor or City of Seattle permit reports.Credits:Most icons sourced from the Noun Project.(Lars Meiertoberens, MRK, Gan Khoon Lay ....)

This data release contains the GIS data supporting U.S. Geological Survey Open-File Report (OFR) 2005-1252, "The Geologic Map of Seattle—A Progress Report," published in 2005 by Kathy Goetz Troost, Derek B. Booth, Aaron P. Wisher, and Scott A. Shimel (https://doi.org/10.3133/ofr20051252). The OFR was prepared for the 2005 Washington Hydrogeology Symposium and describes the status of geologic mapping for Seattle, Washington, at the time. The map is the result of field mapping and compilation of subsurface geologic data during the years 1999–2004 and was funded by the City of Seattle and the U.S. Geological Survey. Data from more than 36,000 exploration points, geotechnical borings, monitoring wells, excavations, and outcrops were used in making the map. The northern part of the 2005 OFR and the supporting GIS data were subsequently published as two geologic maps: Booth, D.B., Troost, K.G., and Shimel, S.A., 2005, Geologic map of northwestern Seattle (part of the Seattle North 7.5’ X 15’ Quadrangle), King County, Washington: U.S. Geological Survey Scientific Investigations Map 2903, https://doi.org/10.3133/sim2903. Booth, D.B., Troost, K.G., and Shimel, S.A., 2009, Geologic map of northeastern Seattle (part of the Seattle North 7.5' x 15' quadrangle), King County, Washington: U.S. Geological Survey Scientific Investigations Map 3065, https://doi.org/10.3133/sim3065. The southern part of the 2005 OFR and the supporting GIS data were not subsequently published for various reasons. With the original authors' permission, the GIS data used to create the map shown in OFR 2005-1252 are being released here to best meet modern open-data standards and to allow for use in future studies and mapping. The data included in this data release are only those components necessary to create the map shown in OFR 2005-1252. The following map features were not available and are not included in this data release: bedding point data, faults, anticlines, and contact lines. OFR_2005-1252.gdb is an Esri geodatabase containing the following feature classes: ofr_2005_1252_geology_poly (1,068 features); ofr_2005_1252_fill_poly (424 features); ofr_2005_1252_seattle_fault_zone_poly (1 feature); ofr_2005_1252_wastage_landslide_deposits_poly (188 features); ofr_2005_1252_beds_line (6 features); and ofr_2005_1252_scarp_line (351 features). Metadata records associated with each of these elements contain more detailed descriptions of their purposes, constituent entities, and attributes. A shapefile (non-geodatabase) version of the dataset is also included, although due to character limits, some field names and text cells in the attribute tables were truncated relative to the equivalent values in the geodatabase. The authors ask that users of the geologic map data cite both the open-file report and the GIS data release: Open-File Report: Troost, K.G., Booth, D.B., Wisher, A.P., and Shimel, S.A., 2005, The geologic map of Seattle—a progress report: U.S. Geological Survey Open-File Report 2005-1252, https://doi.org/10.3133/ofr20051252. GIS data: Troost, K.G., Booth, D.B., Wisher, A.P., and Shimel, S.A., 2024, GIS data for U.S. Geological Survey OFR 2005-1252, The geologic map of Seattle—a progress report: U.S. Geological Survey data release, https://doi.org/10.5066/P93L6SPS.

City of Seattle 2 ft contours derived from Lidar captured in 2021. Contour lines display at 2ft, 10ft and 50ft intervals dependent on scale. Lines have been smoothed and generalized for display and performance.

Development Detail:

This vector tile service includes topographic contour lines representing elevation at 2-foot intervals within the city of Seattle.

The contours were derived from a bare earth - digital elevation model (DEM) with a pixel resolution of 1.5 feet. The lidar data that created the DEM were collected by NV5 Geospatial over the spring and summer months of 2021 and provided to the city by King County in 2022.

The DEM used to generate the contours was filtered using the Focal Statistics tool in ArcGIS, which served to limit some abrupt changes in cell values. A 3x3 rectangular neighborhood analysis was applied and a mean value was calculated per raster cell.

After running the Focal Statistics tool, 2-foot contours were generated from the filtered DEM. To reduce file size and improve performance, the contours were generalized further using the Smooth Line tool in ArcGIS. A smoothing algorithm type of Polynomial Approximation with Exponential Kernel (PAEK) and a smoothing tolerance of 20 feet was selected in the Smooth Line tool parameter options.

Finally, after executing both generalization tools (Focal Statistics and Smooth Line), all lines less than 25 feet in length were omitted from the final output.

Please note: The 2-foot contours are intended to be used for general reference and cartographic purposes only and should not be used for analysis purposes.

These are Parks that are not owned by Seattle Parks and Recreation but open to the public. These are parks that are made available to the public by other government agencies (Port of Seattle, King County, Washington State Ferries, Seattle Public Utilities, Seattle City Light, Seattle Department of Transportation, UW) and some private owners.The data does not include Private Open Places aka POPs which are Open Places in private buildings for the public use.

Census 2020 blocks in King County with selected P.L. 94-171 redistricting data.For more information about the P.L. 94-171 redistricting data, please visit the U.S. Census Bureau. For a detailed description of the data included please see the 2020 Census State Redistricting Data Summary File. Important note: The Census Bureau advises analysts to aggregate blocks together to form larger geographic units before using the 2020 Census data. Background: The Bureau used a new tool, called Differential Privacy, to inject statistical noise into the 2020 Census data in order to protect privacy. The resulting noise can cause substantial inaccuracy at the block level; combining data for blocks and other small geographies reduces the inaccuracy. For more information see Redistricting Data: What to Expect and When (census.gov), 2020 Census Data Products: Disclosure Avoidance Modernization.

This web map shows latest KC RainWise eligible basin and Seattle's SPU eligible basins. This web application uses this webmap to help users to identify KC basin or SPU basin by address location.

Clinic locations for Seattle/King County Public Health

Data from: American Community Survey, 5-year Series

Combined Sewer Overflows (CSOs) are relief points in older sewer systems that carry sewage and stormwater in the same pipe. When heavy rains fill the pipes, CSOs release sewage and stormwater into rivers, lakes, or Puget Sound. This dataset shows the point locations for CSO outfalls for monitoring and planning purposes. For more information regarding CSOs, please go to this link: https://www.kingcounty.gov/services/environment/wastewater/cso.aspx

A polygon feature class displaying countywide zip code boundaries.Zip code data supplied by King County, updated quarterly.

Regional Transit Authority District encompassing urban King County

!!PLEASE NOTE!! When downloading the data, please select "File Geodatabase" to preserve long field names. Shapefile will truncate field names to 10 characters.Version: CurrentThe Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. Click here for a User Guide.See the layer in action in the Racial and Social Equity ViewerClick here for an 11x17 printable pdf version of the map.The Composite Index includes sub-indices of: Race, English Language Learners, and Origins Index ranks census tracts by an index of three measures weighted as follows: Persons of color (weight: 1.0) English language learner (weight: 0.5) Foreign born (weight: 0.5)Socioeconomic Disadvantage Index ranks census tracts by an index of two equally weighted measures:Income below 200% of poverty level Educational attainment less than a bachelor’s degreeHealth Disadvantage Index ranks census tracts by an index of seven equally weighted measures:No leisure-time physical activityDiagnosed diabetes ObesityMental health not good AsthmaLow life expectancy at birthDisabilityThe index does not reflect population densities, nor does it show variation within census tracts which can be important considerations at a local level.Sources are as indicated below.Produced by City of Seattle Office of Planning & Community Development. For more information on the indices, including guidance for use, contact Diana Canzoneri (diana.canzoneri@seattle.gov).Sources: 2017-2021 Five-Year American Community Survey Estimates, U.S. Census Bureau; 2020 Decennial Census, U.S. Census Bureau; estimates from the Centers for Disease Control’ Behavioral Risk Factor Surveillance System (BRFSS) published in the “The 500 Cities Project,”; Washington State Department of Health’s Washington Tracking Network (WTN);, and estimates from the Public Health – Seattle & King County (based on the Community Health Assessment Tool).Language is for population age 5 and older. Educational attainment is for the population age 25 and over.Life expectancy is life expectancy at birth.Other health measures based on percentages of the adult population.

Table from the American Community Survey (ACS) 5-year series on transportation related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B08303 Travel Time to Work, B25044 Tenure by Vehicles Available, B08301 Means of Transportation to Work. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.Table created for and used in the Neighborhood Profiles application.Vintages: 2023ACS Table(s): B08303, B25044, B08301Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Area-wide modeled near-surface temperature for 6-7 am on July 27, 2020, based on temperature and humidity data collected for a one-day heat mapping project conducted by King County, Seattle Public Utilities, and the City of Seattle. Data collected on July 27, 2020 in partnership with project volunteers and CAPA Strategies. Data analysis and maps produced by CAPA strategies. This predictive temperature model was created from multi-band land cover rasters from Sentinel-2 satellite and raw heat data from sensor SD cards using the 70:30 holdout method.Heat maps also available for 6-7 am and 7-8 pm. Results can be viewed using this ArcGIS web app viewer. More information on the project available in Heat Watch Report for Seattle & King County. Contact CAPA Strategies for questions on the data, maps, and data analysis methods.

This map is intended for use with the KCHA Sites with Urban Heat Mapping and LCI Opportunity Areas: Map Viewer application.King County Housing Authority (KCHA) properties were geocoded with the KC Geocoder, then overlaid with Urban Heat Mapping (Afternoon) data to extract temperature values. Properties were also overlaid with Land Conservation Initiative (LCI) Opportunity Areas (2020 version) to tag them as being in or out of the primary qualifying criteria.More information on the heat mapping project is available in Heat Watch Report for Seattle & King County (PDF file). Contact CAPA Strategies for questions on the data, maps, and data analysis methods.More information on the Land Conservation Initiative Opportunity Areas data can be found here.

Table from the American Community Survey (ACS) B16003 of age by language spoken at home for the population 5 years and over in limited English-speaking households. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.Vintages: 2010, 2015, 2020, 2021, 2022, 2023ACS Table(s): B16003Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

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.