55 datasets found
  1. d

    Neighborhood Map Atlas Neighborhoods

    • catalog.data.gov
    • data.seattle.gov
    • +3more
    Updated Mar 8, 2025
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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.

  2. v

    Neighborhood Map Atlas Districts

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • catalog.data.gov
    • +1more
    Updated Feb 28, 2025
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    City of Seattle (2025). Neighborhood Map Atlas Districts [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/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.

  3. 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
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    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

  4. 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
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    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.

  5. Languages and English Ability - Seattle Neighborhoods

    • catalog.data.gov
    • data.seattle.gov
    • +4more
    Updated Jan 31, 2025
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    City of Seattle ArcGIS Online (2025). Languages and English Ability - Seattle Neighborhoods [Dataset]. https://catalog.data.gov/dataset/languages-and-english-ability-seattle-neighborhoods
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    https://arcgis.com/
    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: 2023ACS Table(s): B16004, C16002Data 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

  6. D

    Education - Seattle Neighborhoods

    • data.seattle.gov
    • hub.arcgis.com
    • +1more
    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
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    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

  7. d

    Transportation - Seattle Neighborhoods

    • catalog.data.gov
    • data.seattle.gov
    • +3more
    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
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    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

  8. D

    Incomes Occupations and Earnings - Seattle Neighborhoods

    • data.seattle.gov
    • hub.arcgis.com
    • +1more
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Incomes Occupations and Earnings - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Incomes-Occupations-and-Earnings-Seattle-Neighborh/5r7r-hvze
    Explore at:
    csv, xml, 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 income and earning related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B19025 Aggregate Household Income, B19013 Median Household Income, B19001 Household Income, B19113 Median Family Household Income, B19101 Family Household Income, B19202 Median Nonfamily Household Income, B19201 Nonfamily Household Income, B19301 Per Capita Income/B19313 Aggregate Income/B01001 Sex by Age, C24010 Sex by Occupation of the Civilian Employed Population 16 years and Over, B20017 Median Earnings by Sex by Work Experience for the Population 16 years and over with Earnings, B20001 Sex by Earnings for the Population 16 years and over with Earnings. 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 <span style='font-family:inherit; margin:0px;

  9. 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
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    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

  10. 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.

  11. D

    Race in Combination (transposed) - Seattle Neighborhoods

    • data.seattle.gov
    • catalog.data.gov
    • +2more
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Race in Combination (transposed) - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Race-in-Combination-transposed-Seattle-Neighborhoo/rtzm-44i5
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    xml, application/rdfxml, json, csv, application/rssxml, tsvAvailable 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 Other. 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<span style='font-family:inherit; margin:0px;

  12. D

    Seattle Neighborhood Profiles King County and Seattle Medians

    • data.seattle.gov
    • hub.arcgis.com
    • +1more
    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
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    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

  13. 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

  14. d

    Poverty and Employment Status - Seattle Neighborhoods

    • catalog.data.gov
    • data.seattle.gov
    • +1more
    Updated Jan 31, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Poverty and Employment Status - Seattle Neighborhoods [Dataset]. https://catalog.data.gov/dataset/poverty-and-employment-status-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 poverty and employment status related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B23025 Employment Status for the Population 16 years and over, B23024 Poverty Status by Disability Status by Employment Status for the Population 20 to 64 years, B17010 Poverty Status of Families by Family Type by Presence of Related Children under 18 years, C17002 Ratio of Income to Poverty Level in the Past 12 Months. 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): B23025, B23024, B17010, C17002Data 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.<d

  15. v

    Seattle City Council Districts

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.seattle.gov
    • +4more
    Updated Feb 28, 2025
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    City of Seattle ArcGIS Online (2025). Seattle City Council Districts [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/seattle-city-council-district
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Area covered
    Seattle
    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.

  16. W

    Coffee with the Sallys Map

    • cloud.csiss.gmu.edu
    • datadiscoverystudio.org
    • +1more
    csv, json, rdf, xml
    Updated May 15, 2019
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    United States (2019). Coffee with the Sallys Map [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/coffee-with-the-sallys-map
    Explore at:
    rdf, xml, csv, jsonAvailable download formats
    Dataset updated
    May 15, 2019
    Dataset provided by
    United States
    Description

    Grab a coffee and join Seattle City Councilmember Sally Bagshaw and Seattle City Council President Sally Clark for conversation and caffeine out in your neighborhood.

  17. w

    Seattle Parks and Recreation GIS Map Layer Shapefile - Community Center

    • data.wu.ac.at
    • datadiscoverystudio.org
    csv, json, kml, kmz +1
    Updated Mar 6, 2018
    + more versions
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    City of Seattle (2018). Seattle Parks and Recreation GIS Map Layer Shapefile - Community Center [Dataset]. https://data.wu.ac.at/odso/data_gov/MTFjZWFjZDYtNDI5YS00YWQ4LWJlMWUtNGE2ZWQ1MjNkZWE4
    Explore at:
    zip, json, csv, kml, kmzAvailable download formats
    Dataset updated
    Mar 6, 2018
    Dataset provided by
    City of Seattle
    Area covered
    Seattle
    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

  18. t

    Housing Unit Density

    • prod.testopendata.com
    Updated Dec 6, 2022
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    City of Seattle ArcGIS Online (2022). Housing Unit Density [Dataset]. https://prod.testopendata.com/maps/SeattleCityGIS::housing-unit-density-1
    Explore at:
    Dataset updated
    Dec 6, 2022
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Description

    This layer shows housing occupancy, tenure, and median rent/housing value symbolized to show the housing density - housing units per gross land acre. This is shown by 2020 census tract boundaries.This layer uses the 2020 American Community Survey (ACS) 5-year data and contains estimates and margins of error. There are additional calculated attributes related to this topic, which can be mapped or used within analysis. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. For more information regarding the ACS vintage, table sources and data processing notes, please see the item page for the source map service.

  19. A

    ‘A Council Districts Profile ACS 5-year 2013-2017’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jun 8, 2019
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2019). ‘A Council Districts Profile ACS 5-year 2013-2017’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-a-council-districts-profile-acs-5-year-2013-2017-302e/latest
    Explore at:
    Dataset updated
    Jun 8, 2019
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘A Council Districts Profile ACS 5-year 2013-2017’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/f041fcfa-c22a-41ef-887c-08661c181447 on 27 January 2022.

    --- Dataset description provided by original source is as follows ---

    Data from: American Community Survey, 5-year Series 2013-2017


    City of Seattle Council District boundaries with American Community Survey data and attachments of census reports. There are seven council districts in the City of Seattle, positions 1-7, and two positions elected "at-large" (city-wide) in positions 8 and 9.

    For more information about the Council Districts see the Office of the City Clerk.

    Neighborhood aggregations of American Community Survey tract-based data derived from the U.S. Census Bureau's demographic profiles (DP02-DP05). The geo service includes over 50 attributes of the most frequently requested data.

    Also includes custom reports in pdf format as attachments to each neighborhood.

    When downloading the data, please select "GDB Download" under "Additional Resources" to preserve long field names and attachments. The associated file geodatabase contains a separate feature class for three levels of neighborhood geography - council districts, community reporting areas, and urban village demographic areas that includes these 50+ attributes.
    Data from: American Community Survey, 5-year Series 2013-2017

    --- Original source retains full ownership of the source dataset ---

  20. D

    Household Types and Populations - Seattle Neighborhoods

    • data.seattle.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    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;

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City of Seattle (2025). Neighborhood Map Atlas Neighborhoods [Dataset]. https://catalog.data.gov/dataset/neighborhood-map-atlas-neighborhoods

Neighborhood Map Atlas Neighborhoods

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
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.

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