7 datasets found
  1. a

    Zoning for Unincorporated King County / zoning area

    • gis-kingcounty.opendata.arcgis.com
    • king-snocoplanning.opendata.arcgis.com
    • +1more
    Updated Sep 29, 2016
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    King County (2016). Zoning for Unincorporated King County / zoning area [Dataset]. https://gis-kingcounty.opendata.arcgis.com/datasets/zoning-for-unincorporated-king-county-zoning-area
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    Dataset updated
    Sep 29, 2016
    Dataset authored and provided by
    King County
    Area covered
    Description

    Zoning boundaries for unincorporated King County; WA. Created layers using parcels, cities, and legal descriptions. This is the version with the cities clipped out. This is used for GISMO and by KCGIS. We have another version that is presently being maintained as coverage that includes city areas.

  2. a

    Zoning

    • data-cityofseatac.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jan 7, 2019
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    City of SeaTac (2019). Zoning [Dataset]. https://data-cityofseatac.opendata.arcgis.com/datasets/zoning-1
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    Dataset updated
    Jan 7, 2019
    Dataset authored and provided by
    City of SeaTac
    Area covered
    Description

    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.

  3. a

    FIRM Panels

    • gisdata-piercecowa.opendata.arcgis.com
    • open.piercecountywa.gov
    • +1more
    Updated Aug 10, 2022
    + more versions
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    Pierce County, Washington (2022). FIRM Panels [Dataset]. https://gisdata-piercecowa.opendata.arcgis.com/datasets/firm-panels
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    Dataset updated
    Aug 10, 2022
    Dataset authored and provided by
    Pierce County, Washington
    Area covered
    Description

    With the new 2017 DFIRM map panels are not issued to individual National Flood Insurance Program - NFIP communities but the one seamless countywide map is apportioned based on area covered without consideration of corporate boundaries. The exception is along the King County border were portions of the cities of Pacific and Auburn are not shown in Pierce County but will be mapped in the King County countywide DFIRM as the majority of those cities lay in King County. The map panel starts with a new countywide identifier of “53053C” plus the four digit panel locator and the latest edited suffix, currently “E”. Each NFIP community has a unique number that is necessary to be shown on Elevation Certificates and for writing a flood insurance policy (e.g. Unincorporated Pierce County is 530138) in the past this community number was on the map panel issued to that community. Care must be taken to ensure the property community is identified on the appropriate documents. This number can be found on FEMA website: (https://www.fema.gov/national-flood-insurance-program-community-status-bookThe) FEMA map panels are derived from the USGS 7.5 Minute Quad grid. A FEMA 1"=2000' map covers the exact area at a 7.5 Minute Quadrangle. FEMA publishes maps at three scales, 1"=2000', 1"=1000' and 1"=500'. The map scale can be determined by the panel number of the map. The map numbering on a 1"=2000' series map is divisible by 25 (e.g. 0150, 0650). The 1"=2000' maps are quartered (by aliquot parts) to become the 1"=1000' map, the map numbering are divisible by 5 (e.g. 0140, 630). The 1"=1000' are sub-divided again to create the 1"=500' scale maps used in more populated areas (e.g.0137, 0626). Please read metadata for additional information (https://matterhorn.piercecountywa.gov/GISmetadata/pdbswm_regulated_firm_panels.html) Any data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf)

  4. a

    KC VectorBase 20240521

    • kingcounty.hub.arcgis.com
    Updated May 22, 2024
    + more versions
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    King County (2024). KC VectorBase 20240521 [Dataset]. https://kingcounty.hub.arcgis.com/maps/00a4148ecf924346adb9a966c4bf2cb3
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    King County
    Area covered
    Description

    A general-pupose basemap designed to support a wide variety of web-based mapping needs. Through its countywide display of highways and streets, waterbodies, incorporated cities, and parks, the map is suitable as a stand-alone, general-reference map and as a base for thematic data display using operational map overlays. The map was designed specifically for use in ArcGIS Server applications, with scale-dependent layers and label classes customized for the Google/Bing Web Mercator tiling scheme, but it is also useful as a "quick-and-dirty" basemap for other map projects (although as a cached map service the map content is unalterable).

  5. a

    Neighborhood Profile Builder King County Seattle and Neighborhoods...

    • seattle-city-maps-seattlecitygis.hub.arcgis.com
    Updated Apr 28, 2023
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    City of Seattle ArcGIS Online (2023). Neighborhood Profile Builder King County Seattle and Neighborhoods (ACS-Tract) - Dashboard [Dataset]. https://seattle-city-maps-seattlecitygis.hub.arcgis.com/items/f1d03858ab394ba0ba77d09e49d1e0da
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    Dataset updated
    Apr 28, 2023
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Seattle
    Description

    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 ....)

  6. a

    Racial and Social Equity Composite Index Current

    • data-seattlecitygis.opendata.arcgis.com
    • data.seattle.gov
    • +1more
    Updated Jan 27, 2023
    + more versions
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    City of Seattle ArcGIS Online (2023). Racial and Social Equity Composite Index Current [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/datasets/SeattleCityGIS::racial-and-social-equity-composite-index-current/about
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    Dataset updated
    Jan 27, 2023
    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

    !!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.

  7. a

    LANGUAGE SPOKEN AT HOME FOR THE POPULATION 5 YEARS AND OVER (C16001)

    • data-seattlecitygis.opendata.arcgis.com
    • data.seattle.gov
    • +1more
    Updated Sep 3, 2023
    + more versions
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    City of Seattle ArcGIS Online (2023). LANGUAGE SPOKEN AT HOME FOR THE POPULATION 5 YEARS AND OVER (C16001) [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/datasets/SeattleCityGIS::language-spoken-at-home-for-the-population-5-years-and-over-c16001
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    Dataset updated
    Sep 3, 2023
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Description

    Table from the American Community Survey (ACS) C16001 of language spoken at home for the population 5 years and over. 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): C16001Data 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.

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King County (2016). Zoning for Unincorporated King County / zoning area [Dataset]. https://gis-kingcounty.opendata.arcgis.com/datasets/zoning-for-unincorporated-king-county-zoning-area

Zoning for Unincorporated King County / zoning area

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Dataset updated
Sep 29, 2016
Dataset authored and provided by
King County
Area covered
Description

Zoning boundaries for unincorporated King County; WA. Created layers using parcels, cities, and legal descriptions. This is the version with the cities clipped out. This is used for GISMO and by KCGIS. We have another version that is presently being maintained as coverage that includes city areas.

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