81 datasets found
  1. Seattle Neighborhoods - Top 50 American Community Survey Data

    • catalog.data.gov
    Updated Feb 28, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (2025). Seattle Neighborhoods - Top 50 American Community Survey Data [Dataset]. https://catalog.data.gov/dataset/seattle-neighborhoods-top-50-american-community-survey-data
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Seattle
    Description

    City of Seattle neighborhood boundaries 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 and summarized to the neighborhoods based on block group assignment. Seattle neighborhood geography of Council Districts, Comprehensive Plan Growth Areas are included.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. <div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next&qu

  2. D

    Education - Seattle Neighborhoods

    • data.seattle.gov
    • hub.arcgis.com
    • +2more
    application/rdfxml +5
    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
    Explore at:
    application/rdfxml, csv, tsv, application/rssxml, json, xmlAvailable 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

  3. d

    Neighborhood Map Atlas Districts

    • catalog.data.gov
    Updated Feb 28, 2025
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    City of Seattle (2025). Neighborhood Map Atlas Districts [Dataset]. https://catalog.data.gov/dataset/neighborhood-map-atlas-districts-fa969
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle
    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.

  4. d

    Seattle Parks and Recreation GIS Map Layer Shapefile - Community Center.

    • datadiscoverystudio.org
    • data.wu.ac.at
    csv, json
    Updated Mar 8, 2018
    + more versions
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    (2018). Seattle Parks and Recreation GIS Map Layer Shapefile - Community Center. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ef02c76867eb43ba8aee0d44441afbc4/html
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 8, 2018
    Area covered
    Seattle
    Description

    description: Seattle Parks and Recreation GIS Map Layer Shapefile - Community Center Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata. OR Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/10; abstract: Seattle Parks and Recreation GIS Map Layer Shapefile - Community Center Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata. OR Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/10

  5. 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.

  6. d

    Basic Demographics Age and Gender - Seattle Neighborhoods

    • catalog.data.gov
    • data.seattle.gov
    Updated Jan 31, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Basic Demographics Age and Gender - Seattle Neighborhoods [Dataset]. https://catalog.data.gov/dataset/basic-demographics-age-and-gender-seattle-neighborhoods
    Explore at:
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on age and gender related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B01001 Sex by Age, B01002 Median Age by Sex. 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): B01001, B01002Data 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 estima

  7. D

    Household Types and Populations - Seattle Neighborhoods

    • data.seattle.gov
    • data-seattlecitygis.opendata.arcgis.com
    • +1more
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Household Types and Populations - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Household-Types-and-Populations-Seattle-Neighborho/8nez-wmwv
    Explore at:
    xml, csv, tsv, json, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on household types and population related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B11003 Family Type by Presence and Age of Own Children under 18 Years, B11005 Households by Presence of People Under 18 Years by Household Type, B11007 Households by Presence of People 65 Years and Over by Household Type, B11001 Household Type (Including Living Alone), B11002 Household Type by Relatives and Nonrelatives for Population in Households, B25003 Tenure, B25008 Total Population in Occupied Housing Units by Tenure, B09019 Household Type (Including Living Alone) by Relationship. 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


    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 <a href='https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit; margin:0px;

  8. d

    Transportation - Seattle Neighborhoods

    • catalog.data.gov
    • data.seattle.gov
    Updated Feb 28, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Transportation - Seattle Neighborhoods [Dataset]. https://catalog.data.gov/dataset/transportation-table-seattle-neighborhoods
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Area covered
    Seattle
    Description

    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. Da

  9. D

    Languages and English Ability - Seattle Neighborhoods

    • data.seattle.gov
    • gimi9.com
    • +3more
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Languages and English Ability - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Languages-and-English-Ability-Seattle-Neighborhood/d2c7-tkpy
    Explore at:
    json, csv, tsv, xml, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on languages spoken and English ability related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B16004 Age by Language Spoken at Home by Ability to Speak English, C16002 Household Language by Household Limited English-Speaking Status. 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): B16004, C16002


    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 href='https://www.census.gov/content/dam/Census/library/publications/2020/acs/acs_general_handbook_2020_ch08.pdf' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc

  10. D

    Race and Ethnicity - Seattle Neighborhoods

    • data.seattle.gov
    • catalog.data.gov
    • +2more
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Race and Ethnicity - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Race-and-Ethnicity-Seattle-Neighborhoods/r4ar-x7dx
    Explore at:
    xml, application/rdfxml, csv, tsv, json, application/rssxmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on race and ethnicity related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B03002 Hispanic or Latino Origin by Race, B02008-B02013 Race Alone or in Combination with One or More. 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


    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,

  11. D

    Seattle Parks and Recreation GIS Map Layer Web Services URL - Community...

    • data.seattle.gov
    • cloud.csiss.gmu.edu
    • +2more
    application/rdfxml +5
    Updated Apr 5, 2016
    + more versions
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    Seattle Parks and Recreation (2016). Seattle Parks and Recreation GIS Map Layer Web Services URL - Community Centers [Dataset]. https://data.seattle.gov/dataset/Seattle-Parks-and-Recreation-GIS-Map-Layer-Web-Ser/hjvp-he5z
    Explore at:
    csv, application/rdfxml, tsv, xml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Apr 5, 2016
    Dataset authored and provided by
    Seattle Parks and Recreation
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Seattle
    Description

    Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Community Centers dataset.

  12. a

    City Clerk Neighborhoods

    • data-seattlecitygis.opendata.arcgis.com
    Updated Dec 19, 2018
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    City of Seattle GIS Program (2018). City Clerk Neighborhoods [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/datasets/b76cdd45f7b54f2a96c5e97f2dda3408
    Explore at:
    Dataset updated
    Dec 19, 2018
    Dataset authored and provided by
    City of Seattle GIS Program
    Area covered
    Description

    Displays the 20 Large City Clerk neighborhood boundaries, along with their smaller neighborhood boundaries.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.

  13. A

    Seattle Parks and Recreation GIS Map Layer Shapefile - Ash Cans

    • data.amerigeoss.org
    • data.wu.ac.at
    csv, json, kml, zip
    Updated Jul 29, 2019
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    United States[old] (2019). Seattle Parks and Recreation GIS Map Layer Shapefile - Ash Cans [Dataset]. https://data.amerigeoss.org/sr/dataset/seattle-parks-and-recreation-gis-map-layer-ash-cans
    Explore at:
    kml, zip, json, csvAvailable download formats
    Dataset updated
    Jul 29, 2019
    Dataset provided by
    United States[old]
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation GIS Map Layer Shapefile - Ash Cans

    Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata.

    OR

    Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/1

  14. A

    Seattle Parks and Recreation GIS Map Layer Shapefile - Public Restroom

    • data.amerigeoss.org
    • datadiscoverystudio.org
    • +1more
    csv, json, kml, zip
    Updated Jul 27, 2019
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    United States[old] (2019). Seattle Parks and Recreation GIS Map Layer Shapefile - Public Restroom [Dataset]. https://data.amerigeoss.org/zh_TW/dataset/seattle-parks-and-recreation-gis-map-layer-public-restroom
    Explore at:
    json, zip, kml, csvAvailable download formats
    Dataset updated
    Jul 27, 2019
    Dataset provided by
    United States[old]
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation GIS Map Layer Shapefile - Public Restroom

    Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata.

    OR

    Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/9

  15. D

    Seattle Parks and Recreation GIS Map Layer Web Services URL - Football Field...

    • data.seattle.gov
    • cloud.csiss.gmu.edu
    • +2more
    application/rdfxml +5
    Updated Apr 5, 2016
    + more versions
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    Seattle Parks and Recreation (2016). Seattle Parks and Recreation GIS Map Layer Web Services URL - Football Field Point [Dataset]. https://data.seattle.gov/Community-and-Culture/Seattle-Parks-and-Recreation-GIS-Map-Layer-Web-Ser/vghy-nwt5
    Explore at:
    csv, xml, application/rssxml, application/rdfxml, tsv, jsonAvailable download formats
    Dataset updated
    Apr 5, 2016
    Dataset authored and provided by
    Seattle Parks and Recreation
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Seattle
    Description

    Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Football Field Point dataset.

  16. D

    Seattle Neighborhood Profiles King County and Seattle Medians

    • data.seattle.gov
    • hub.arcgis.com
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Seattle Neighborhood Profiles King County and Seattle Medians [Dataset]. https://data.seattle.gov/dataset/Seattle-Neighborhood-Profiles-King-County-and-Seat/nd8i-5g94
    Explore at:
    csv, xml, tsv, application/rdfxml, json, application/rssxmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    King County, Seattle
    Description

    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.


    Table created for and used in the Neighborhood Profiles application.

    Vintages: 2010, 2015, 2020, 2023


    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 <a

  17. d

    Seattle Parks and Recreation GIS Map Layer Shapefile - Small Craft Centers.

    • datadiscoverystudio.org
    • data.amerigeoss.org
    • +1more
    csv, json
    Updated Mar 8, 2018
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    (2018). Seattle Parks and Recreation GIS Map Layer Shapefile - Small Craft Centers. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/eb0d330e709a428db4f607c4c451effd/html
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 8, 2018
    Area covered
    Seattle
    Description

    description: Seattle Parks and Recreation GIS Map Layer Shapefile - Small Craft Centers Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata. OR Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/38; abstract: Seattle Parks and Recreation GIS Map Layer Shapefile - Small Craft Centers Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata. OR Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/38

  18. D

    Housing Characteristics - Seattle Neighborhoods

    • data.seattle.gov
    • data-seattlecitygis.opendata.arcgis.com
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Housing Characteristics - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Housing-Characteristics-Seattle-Neighborhoods/nwbb-qzfq
    Explore at:
    csv, application/rssxml, tsv, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on housing characteristics related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B25002 Occupancy Status, B24042 Tenure by Number of Bedrooms, B25024 Units in Structure, B25014 Tenure by Occupants per Room, B25040 House Heating Fuel, B25049 Tenure by Plumbing Facilities, B25053 Tenure by Kitchen Facilities, B25043 Tenure by Telephone Service Available by Age of Householder, B28003 Presence of a Computer and Type of Internet in Household. 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


    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

  19. d

    Seattle Parks and Recreation GIS Map Layer Web Services URL - Public...

    • catalog.data.gov
    • data.seattle.gov
    • +3more
    Updated Jan 31, 2025
    + more versions
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    data.seattle.gov (2025). Seattle Parks and Recreation GIS Map Layer Web Services URL - Public Restroom [Dataset]. https://catalog.data.gov/dataset/seattle-parks-and-recreation-gis-map-layer-web-services-url-public-restroom-36f79
    Explore at:
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    data.seattle.gov
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Public Restroom dataset.

  20. 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
    Explore at:
    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.

Share
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U.S. Department of Commerce, U.S. Census Bureau, Geography Division (2025). Seattle Neighborhoods - Top 50 American Community Survey Data [Dataset]. https://catalog.data.gov/dataset/seattle-neighborhoods-top-50-american-community-survey-data
Organization logo

Seattle Neighborhoods - Top 50 American Community Survey Data

Explore at:
Dataset updated
Feb 28, 2025
Dataset provided by
United States Census Bureauhttp://census.gov/
Area covered
Seattle
Description

City of Seattle neighborhood boundaries 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 and summarized to the neighborhoods based on block group assignment. Seattle neighborhood geography of Council Districts, Comprehensive Plan Growth Areas are included.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. <div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next&qu

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