4 datasets found
  1. Parcels

    • data-seattlecitygis.opendata.arcgis.com
    • catalog.data.gov
    Updated Jan 2, 2020
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    City of Seattle ArcGIS Online (2020). Parcels [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/datasets/parcels-1/data
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    Dataset updated
    Jan 2, 2020
    Dataset provided by
    Authors
    City of Seattle ArcGIS Online
    License

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

    Area covered
    Description

    These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning. The difference between existing and potential development yields the capacity for new residential and commercial development.There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names. The associated file geodatabase contains all the feature classes for the 10 layers represented.

  2. D

    Land Use Zoning

    • data.seattle.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Feb 3, 2025
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    (2025). Land Use Zoning [Dataset]. https://data.seattle.gov/dataset/Land-Use-Zoning/vckc-k5ef
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    csv, application/rdfxml, application/rssxml, json, xml, tsvAvailable download formats
    Dataset updated
    Feb 3, 2025
    Description

    These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..

    To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning.

    The difference between existing and potential development yields the capacity for new residential and commercial development.

    There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.

    When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names. The associated file geodatabase contains all the feature classes for the 10 layers represented.

  3. d

    Mixed Use and Commercial

    • catalog.data.gov
    Updated Feb 28, 2025
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    City of Seattle ArcGIS Online (2025). Mixed Use and Commercial [Dataset]. https://catalog.data.gov/dataset/mixed-use-and-commercial-1bb9e
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning. The difference between existing and potential development yields the capacity for new residential and commercial development.There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names. The associated file geodatabase contains all the feature classes for the 10 layers represented.

  4. A

    Land Use Zoning

    • data.amerigeoss.org
    • data.seattle.gov
    Updated Jan 2, 2020
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    United States (2020). Land Use Zoning [Dataset]. https://data.amerigeoss.org/ro/dataset/land-use-zoning-d3607
    Explore at:
    application/vnd.geo+json, kml, zip, html, csv, jsonAvailable download formats
    Dataset updated
    Jan 2, 2020
    Dataset provided by
    United States
    Description

    These layers are used as part of the City of Seattle Zoned Development Capacity Model.

    To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning.

    The difference between existing and potential development yields the capacity for new residential and commercial development.

    There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.

    When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names. The associated file geodatabase contains all the feature classes for the 10 layers represented.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
City of Seattle ArcGIS Online (2020). Parcels [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/datasets/parcels-1/data
Organization logo

Parcels

Explore at:
Dataset updated
Jan 2, 2020
Dataset provided by
Authors
City of Seattle ArcGIS Online
License

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

Area covered
Description

These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning. The difference between existing and potential development yields the capacity for new residential and commercial development.There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names. The associated file geodatabase contains all the feature classes for the 10 layers represented.

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