65 datasets found
  1. a

    Seattle City Limits

    • data-seattlecitygis.opendata.arcgis.com
    • catalog.data.gov
    • +1more
    Updated Sep 15, 2022
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    City of Seattle ArcGIS Online (2022). Seattle City Limits [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/maps/seattle-city-limits-2
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    Dataset updated
    Sep 15, 2022
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Description

    Contains data from CARTO.CTYLIMIT.Updated as needed.

  2. K

    Seattle Zoning Boundaries

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Nov 15, 2022
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    City of Seattle, Washington (2022). Seattle Zoning Boundaries [Dataset]. https://koordinates.com/layer/110945-seattle-zoning-boundaries/
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    csv, dwg, shapefile, mapinfo mif, mapinfo tab, geodatabase, kml, geopackage / sqlite, pdfAvailable download formats
    Dataset updated
    Nov 15, 2022
    Dataset authored and provided by
    City of Seattle, Washington
    Area covered
    Description

    Geospatial data about Seattle Zoning Boundaries. Export to CAD, GIS, PDF, CSV and access via API.

  3. d

    Neighborhood Map Atlas Neighborhoods

    • catalog.data.gov
    • data.seattle.gov
    • +3more
    Updated Mar 8, 2025
    + more versions
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    City of Seattle (2025). Neighborhood Map Atlas Neighborhoods [Dataset]. https://catalog.data.gov/dataset/neighborhood-map-atlas-neighborhoods
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    Dataset updated
    Mar 8, 2025
    Dataset provided by
    City of Seattle
    Description

    Neighborhood Map Atlas neighborhoods are derived from the Seattle City Clerk's Office Geographic Indexing Atlas. These are the smallest neighborhood areas and have been supplemented with alternate names from other sources in 2020. They roll up to the district areas. The sub-neighborhood field contains the most common name and the alternate name field is a comma delimited list of all the alternate names.The original atlas is designed for subject indexing of legislation, photographs, and other documents and is an unofficial delineation of neighborhood boundaries used by the City Clerks Office. Sources for this atlas and the neighborhood names used in it include a 1980 neighborhood map produced by the Department of Community Development, Seattle Public Library indexes, a 1984-1986 Neighborhood Profiles feature series in the Seattle Post-Intelligencer, numerous parks, land use and transportation planning studies, and records in the Seattle Municipal Archives. Many of the neighborhood names are traditional names whose meaning has changed over the years, and others derive from subdivision names or elementary school attendance areas.Disclaimer: The Seattle City Clerk's Office Geographic Indexing Atlas is designed for subject indexing of legislation, photographs, and other records in the City Clerk's Office and Seattle Municipal Archives according to geographic area. Neighborhoods are named and delineated in this collection of maps in order to provide consistency in the way geographic names are used in describing records of the Archives and City Clerk, thus allowing precise retrieval of records. The neighborhood names and boundaries are not intended to represent any "official" City of Seattle neighborhood map. The Office of the City Clerk makes no claims as to the completeness, accuracy, or content of any data contained in the Geographic Indexing Atlas; nor does it make any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the representations furnished herein. The maps are subject to change for administrative purposes of the Office of the City Clerk. Information contained in the site, if used for any purpose other than as an indexing and search aid for the databases of the Office of the City Clerk, is being used at one's own risk.

  4. a

    Seattle City Council Districts

    • data-seattlecitygis.opendata.arcgis.com
    • data.seattle.gov
    • +4more
    Updated Dec 14, 2022
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    City of Seattle ArcGIS Online (2022). Seattle City Council Districts [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/datasets/SeattleCityGIS::seattle-city-council-districts
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    Dataset updated
    Dec 14, 2022
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Description

    This layer reflects the district boundaries adopted by the Seattle Redistricting Commission in November 2022.Voters approved Charter Amendment 19 in the November 5, 2013 General And Special Election. The 2015 election was the first election conducted by district. In addition to the seven councilmembers from the districts there are two at-large positions. The voter-approved changes to the City Charter require that the redrawing process happen every ten years.For more information, please see Office of City Clerk site.

  5. Park Boundaries

    • catalog.data.gov
    • data.seattle.gov
    • +2more
    Updated Jul 26, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Park Boundaries [Dataset]. https://catalog.data.gov/dataset/park-boundaries-9c31d
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    Dataset updated
    Jul 26, 2025
    Dataset provided by
    https://arcgis.com/
    Description

    This grouped layer of City of Seattle Parks contains Parks centroids, Parks Boundary outlines, Parks, and also Parks not owned by Seattle Parks and Recreation. Layers also available separately as hosted views:Parks Boundary CentroidsParks Boundary (outline)Parks Boundary (details)Parks Not SPRRefresh Cycle: Weekly on Mondays

  6. c

    Park Boundary (details)

    • s.cnmilf.com
    • data.seattle.gov
    • +4more
    Updated Aug 23, 2025
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    City of Seattle ArcGIS Online (2025). Park Boundary (details) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/park-boundary-details
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    Dataset updated
    Aug 23, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Locations of Seattle Parks and Recreation (SPR) responsibilities within the city limits. SPR _location responsibilities may include: ownership, leases, maintenance, temporary transfer of jurisdiction, life estate, crew quarters, headquarters, storage facilities, tidelands, joint use agreements. This is the detailed transactions level park GIS layer. It is the most current Parks GIS layer. Park uses can be sorted using the "Park Use" field. If you just want the Park outlines (boundaries) then use DPR.ParksBND.

  7. a

    Neighborhood Map Atlas Districts

    • data-seattlecitygis.opendata.arcgis.com
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +2more
    Updated Dec 2, 2020
    + more versions
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    City of Seattle ArcGIS Online (2020). Neighborhood Map Atlas Districts [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/datasets/SeattleCityGIS::neighborhood-map-atlas-districts
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    Dataset updated
    Dec 2, 2020
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    Neighborhood map atlas district areas are derived from the Seattle City Clerk's Office Geographic Indexing Atlas. These are the largest neighborhood areas and have been supplemented with alternate names from other sources in 2020. They are subdivided further into the neighborhood map atlas sub-areas called neighborhoods. The sub-neighborhoods field contains a comma delimited list of all the sub-areas and their alternate names.The original atlas is designed for subject indexing of legislation, photographs, and other documents and is an unofficial delineation of neighborhood boundaries used by the City Clerks Office. Sources for this atlas and the neighborhood names used in it include a 1980 neighborhood map produced by the Department of Community Development, Seattle Public Library indexes, a 1984-1986 Neighborhood Profiles feature series in the Seattle Post-Intelligencer, numerous parks, land use and transportation planning studies, and records in the Seattle Municipal Archives. Many of the neighborhood names are traditional names whose meaning has changed over the years, and others derive from subdivision names or elementary school attendance areas.Disclaimer: The Seattle City Clerk's Office Geographic Indexing Atlas is designed for subject indexing of legislation, photographs, and other records in the City Clerk's Office and Seattle Municipal Archives according to geographic area. Neighborhoods are named and delineated in this collection of maps in order to provide consistency in the way geographic names are used in describing records of the Archives and City Clerk, thus allowing precise retrieval of records. The neighborhood names and boundaries are not intended to represent any "official" City of Seattle neighborhood map. The Office of the City Clerk makes no claims as to the completeness, accuracy, or content of any data contained in the Geographic Indexing Atlas; nor does it make any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the representations furnished herein. The maps are subject to change for administrative purposes of the Office of the City Clerk. Information contained in the site, if used for any purpose other than as an indexing and search aid for the databases of the Office of the City Clerk, is being used at one's own risk.

  8. D

    Seattle Area Polygon

    • data.seattle.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +3more
    application/rdfxml +5
    Updated Feb 3, 2025
    + more versions
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    (2025). Seattle Area Polygon [Dataset]. https://data.seattle.gov/dataset/Seattle-Area-Polygon/f73n-yxcr
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    csv, xml, tsv, json, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Feb 3, 2025
    Area covered
    Seattle Metropolitan Area, Seattle
    Description

    This generalized outline of Seattle contains the north and south city limits but extends past the shoreline and contains no internal waterbodies. For the traditional north south city limits, please use this layer, Seattle City Limits - Overview (arcgis.com) .

  9. d

    Park Boundary (outline)

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated Aug 11, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Park Boundary (outline) [Dataset]. https://catalog.data.gov/dataset/park-boundary-outline
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    Dataset updated
    Aug 11, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Seattle Parks and Recreation owned and managed properties within the city limits or at the borders of the city limits. SPR properties that are well outside of the city limits are not shown. For most use cases, this using this Park boundary is fine.BEWARE: Properties includes Parks Maintenance and Shop Locations, Life Estates (properties that are owned by private citizens until their passing), Properties are own by other City departments or agencies and managed by SPR, SPR owned properties that are managed by other city departments or agencies, Park leased properties, and submerged SPR properties.If a more detailed park delineation is required then use Parks Boundary Details.This is a (weekly) generalized feature class based on DPR.Parks by Park Name.

  10. D

    Education - Seattle Neighborhoods

    • data.seattle.gov
    • hub.arcgis.com
    • +1more
    csv, xlsx, xml
    Updated Oct 22, 2024
    + more versions
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    (2024). Education - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Education-Seattle-Neighborhoods/vuww-ynb6
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    xml, csv, xlsxAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on education enrollment and attainment related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B14007/B14002 School Enrollment, B15003 Educational Attainment. 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: 2023
    ACS Table(s): B14007, B15003, B14002


    The United States Census Bureau's American Community Survey (ACS):
    This 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 Rico
    • Census 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 <a

  11. v

    Stormwater Infrastructure Map

    • anrgeodata.vermont.gov
    Updated Aug 27, 2020
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    City of SeaTac (2020). Stormwater Infrastructure Map [Dataset]. https://anrgeodata.vermont.gov/maps/b0a6e098997b465f8b902249ffc71699
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    Dataset updated
    Aug 27, 2020
    Dataset authored and provided by
    City of SeaTac
    Area covered
    Description

    This web map depicts GIS data for known Stormwater Infrastructure in the City of SeaTac, Washington. The information is based on the best available knowledge collected from construction as-builts and field inspections, with a focus on mapping features in the public right-of-way. The stormwater infrastructure contains the following datasets: discharge points, catch basins and manholes, pipes and ditches, misc structures, water quality facilities points and polygons, and access risers. The data is being continually updated as newer information becomes available.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.

  12. v

    ECA Peat Settlement Prone Areas

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.seattle.gov
    • +3more
    Updated Feb 28, 2025
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    City of Seattle ArcGIS Online (2025). ECA Peat Settlement Prone Areas [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/eca-peat-settlement-prone-areas-394ea
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Peat-settlement-prone areas (sites containing peat and organic soils that may settle when the area is developed or the water table is lowered).Peat settlement-prone areas. Peat settlement-prone areas consist of Category I and Category II peat settlement-prone areas that are delineated on Maps A1 through A26, Peat Settlement-prone Area Boundaries Maps, codified at the end of this Chapter 25.09. This parcel-specific delineation is based on the location of the relevant bog or bogs identified in City of Seattle Identified Bogs (Troost 2007) plus a buffer of 50 feet for Category I peat settlement-prone areas or a buffer of 25 feet for Category II peat settlement-prone areas. On parcels larger than 50,000 square feet, the Director may consider a parcel-specific delineation, provided by the applicant, of the peat settlement-prone area boundary on a parcel. Where a parcel-specific delineation conflicts with the Peat Settlement-prone Area Boundaries Maps, the parcel-specific delineation shall apply.For more information about the definition of peat settlement prone areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions.Updated as needed.

  13. a

    Data from: Zoning Map

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Apr 25, 2018
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    City of SeaTac (2018). Zoning Map [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/documents/cityofseatac::zoning-map/about
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    Dataset updated
    Apr 25, 2018
    Dataset authored and provided by
    City of SeaTac
    Description

    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.

  14. v

    Seattle Tree Canopy Change 2016 2021 Map Package

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.seattle.gov
    • +3more
    Updated Jan 31, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Seattle Tree Canopy Change 2016 2021 Map Package [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/seattle-tree-canopy-change-2016-2021-map-package
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Area covered
    Seattle
    Description

    This map package references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.University of Vermont Spatial Analysis LaboratoryThis map package consists of tree canopy data covering the following categories:50-acre HexagonsCouncil DistrictsSDOT Urban Forestry Management UnitsManagement Units - Dissolved with ROWParcels Right of WayBlock GroupsRSE Census TractsPublic SchoolsBasinsFor more information, please see the 2021 Tree Canopy Assessment.

  15. d

    GIS data for U.S. Geological Survey OFR 2005-1252, The Geologic Map of...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 20, 2024
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    U.S. Geological Survey (2024). GIS data for U.S. Geological Survey OFR 2005-1252, The Geologic Map of Seattle—A Progress Report [Dataset]. https://catalog.data.gov/dataset/gis-data-for-u-s-geological-survey-ofr-2005-1252-the-geologic-map-of-seattlea-progress-rep
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    Dataset updated
    Jul 20, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Seattle
    Description

    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.

  16. d

    Community Reporting Areas

    • catalog.data.gov
    • data.seattle.gov
    • +2more
    Updated May 10, 2025
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    City of Seattle (2025). Community Reporting Areas [Dataset]. https://catalog.data.gov/dataset/community-reporting-areas-9451c
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    Dataset updated
    May 10, 2025
    Dataset provided by
    City of Seattle
    Description

    Please Note: Community Reporting Areas (CRA) have been updated to follow the 2020 census tract lines which resulted in minor changes to some boundary conditions. They have also been extended into water areas to allow the assignment of CRAs to overwater housing and businesses. To exclude the water polygons from a map choose the filter, water=0.Community reporting areas (CRAs) are designed to address a gap that existed in city geography. The task of reporting citywide information at a "community-like level" across all departments was either not undertaken or it was handled in inconsistent ways across departments. The CRA geography provides a "common language" for geographic description of the city for reporting purposes. Therefore, this geography may be used by departments for geographic reporting and tracking purposes, as appropriate. The U.S. Census Bureau census tract geography was chosen as the basis of the CRA geography due to their stability through time and link to widely-used demographic data.The following criteria for a CRA geography were defined for this effort:no overlapping areascomplete coverage of the citysuitable scale to represent neighborhood areas/conditionsreasonably stable over timeconsistent with census geographyrelatively easy to use in a data contextfamiliar system of common place namesrespects neighborhood district geography to the extent possibleThe following existing geographies were reviewed during this effort:neighborhood planning areas (DON)neighborhood districts (DON/CNC/Neighborhood District Councils)city sectors/neighborhood plan implementation areas (DON)urban centers/urban villages (DPD)population sub-areas (DPD)Neighborhood Map Atlas (City Clerk)Census tract geographytopographyvarious other geographic information sources related to neighborhood areas and common place namesThis is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

  17. c

    DPD council districts shore clip - Absolute % Change

    • s.cnmilf.com
    • data.seattle.gov
    • +2more
    Updated Apr 19, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). DPD council districts shore clip - Absolute % Change [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/dpd-council-districts-shore-clip-absolute-change
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    Dataset updated
    Apr 19, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, _location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.University of Vermont Spatial Analysis LaboratoryThis dataset consists of City of Seattle Council District areas as they existed in the first comparison year (2016) which cover the following tree canopy categories:Existing tree canopy percentPossible tree canopy - vegetation percentRelative percent changeAbsolute percent changeFor more information, please see the 2021 Tree Canopy Assessment.

  18. d

    Historic and Special Review Districts

    • catalog.data.gov
    • data.seattle.gov
    • +2more
    Updated Jun 29, 2025
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    City of Seattle ArcGIS Online (2025). Historic and Special Review Districts [Dataset]. https://catalog.data.gov/dataset/historic-and-special-review-districts-86b6e
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Note: This map is not an official zoning map. For precise zoning information, please call or visit the Seattle Municipal Tower, Seattle Department of Construction and InspectionsCity of Seattle's land use zoning historic district and special review district overlays.

  19. d

    2020 Census Block Groups Top 50 American Community Survey Data with Seattle...

    • catalog.data.gov
    Updated Feb 28, 2025
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    City of Seattle ArcGIS Online (2025). 2020 Census Block Groups Top 50 American Community Survey Data with Seattle Neighborhoods [Dataset]. https://catalog.data.gov/dataset/2020-census-block-groups-top-50-american-community-survey-data-with-seattle-neighborhoods
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Area covered
    Seattle
    Description

    U.S. Census Bureau 2020 block groups within the City of Seattle with American Community Survey (ACS) 5-year series data of frequently requested topics. Data is pulled from block group tables for the most recent ACS vintage. Seattle neighborhood geography of Council Districts, Comprehensive Plan Growth Areas are also included based on block group assignment.The census block groups have been assigned to a neighborhood based on the distribution of the total population from the 2020 decennial census for the component census blocks. If the majority of the population in the block group were inside the boundaries of the neighborhood, the block group was assigned wholly to that neighborhood.Feature layer created for and used in the Neighborhood Profiles application.The attribute data associated with this map is updated annually to contain the most currently released American Community Survey (ACS) 5-year data and contains estimates and margins of error. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Vintages: 2023ACS Table(s): Select fields from the tables listed here.Data downloaded from: Census Bureau's Explore Census Data <div style='font-family:inher

  20. A

    Peat Settlement-Prone Areas

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    • +1more
    Updated Apr 17, 2019
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    United States (2019). Peat Settlement-Prone Areas [Dataset]. https://data.amerigeoss.org/fr/dataset/peat-settlement-prone-areas
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    csv, kml, zip, html, json, application/vnd.geo+jsonAvailable download formats
    Dataset updated
    Apr 17, 2019
    Dataset provided by
    United States
    License

    https://hub.arcgis.com/api/v2/datasets/c8674a1076f44307b191fbe3a123ae7e_8/licensehttps://hub.arcgis.com/api/v2/datasets/c8674a1076f44307b191fbe3a123ae7e_8/license

    Description

    Peat settlement-prone areas. Peat settlement-prone areas consist of Category I and Category II peat settlement-prone areas that are delineated on Maps A1 through A26, Peat Settlement-prone Area Boundaries Maps, codified at the end of this Chapter 25.09. This parcel-specific delineation is based on the location of the relevant bog or bogs identified in City of Seattle Identified Bogs (Troost 2007) plus a buffer of 50 feet for Category I peat settlement-prone areas or a buffer of 25 feet for Category II peat settlement-prone areas. On parcels larger than 50,000 square feet, the Director may consider a parcel-specific delineation, provided by the applicant, of the peat settlement-prone area boundary on a parcel. Where a parcel-specific delineation conflicts with the Peat Settlement-prone Area Boundaries Maps, the parcel-specific delineation shall apply.

          <div><br /></div><div>For more information on this code, please visit:<br /></div><div>https://library.municode.com/wa/seattle/codes/municipal_code?nodeId=TIT25ENPRHIPR_CH25.09REENCRAR</div>
    
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City of Seattle ArcGIS Online (2022). Seattle City Limits [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/maps/seattle-city-limits-2

Seattle City Limits

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161 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 15, 2022
Dataset authored and provided by
City of Seattle ArcGIS Online
Area covered
Description

Contains data from CARTO.CTYLIMIT.Updated as needed.

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