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    Neighborhood Boundaries Global Sample

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    Sold by: Precisely 
    Deployed on AWS
    Neighborhood Boundaries provides hierarchical geographic boundaries, names, & other reference attribution

    Overview

    The Neighborhood Boundaries product provides hierarchical geographic boundaries, names, and other locational reference attribution that uniquely defines a neighborhood area for over 133,000 neighborhoods globally. Every city worldwide has a unique blend of population, demographics, social character, and other attributes that lead to different answers to the question, What is a neighborhood?.

    Utilizing the most current and complete resources, we build each neighborhood to best reflect the local and social perception of that area as it would be understood by local residents. Covering North America to the Asia Pacific region, Precisely is the only GIS data provider to collect, validate, and provide neighborhood boundaries for over 92 countries.

    Details: Covers over 133,000 neighborhoods in over 925 metros and 92 countries worldwide

    Includes a unique and persistent object ID as well as primary name, object type code, subtype code, centroid coordinate, and area fields

    Defines macro neighborhoods, neighborhoods, and sub neighborhoods

    Names table provides alternative names and languages

    Exception and function codes help identify unique and nontraditional neighborhood types

    Features: Neighborhoods are defined using multiple authoritative sources including local government, real estate, tourism, local media, and client feedback

    Unambiguous boundaries enable more accurate search and analysis results and cleaner visualization

    A robust hierarchy tailors data organization, providing macro neighborhoods, neighborhoods, and sub neighborhoods

    Coverage concentrates around key metro areas

    Quarterly updates show where change and coverage expansion has occurred

    Change table details adds, deletes, changes from last release

    Product is available in a number of GIS and database loadable formats.

    This is a free sample of Preciselys Neighborhood Boundaries Global product and contains neighborhood content for metro areas for San Francisco, Toronto and Sydney. The global licensed commercial product is available through AWS Data Exchange and licensing terms can be provided by contacting aws.data.partnership@precisely.com .

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    Neighborhood Boundaries Global Sample

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

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    Dimensions summary

    This listing is a free sample dataset with one pricing dimension: Product Access (Units). You subscribe to gain access at no cost. There are no tiers, usage charges, or size options to choose from. The single dimension simply grants you entry to the neighborhood boundaries sample data. Because it is a sample, pricing does not scale by volume or geography. You get access under one flat, no-charge option.

    Top-of-mind questions for buyers

    One unit grants you subscriber access to the Neighborhood Boundaries Global Sample dataset. It is a single access grant, not a per-user or per-record measure. There is one access level, so you do not select quantities or resource sizes.
    No. Product Access is a free, flat grant. Cost does not scale with data volume, query counts, geography, or user count. Because this is a sample dataset, there are no usage charges or overage thresholds to trigger any change to what you pay.
    This listing is a sample of neighborhood boundary data. A sample provides a representative subset rather than the entire global dataset. For the fuller boundaries offering and its coverage, contact the vendor, since the sample's exact scope is not detailed in the pricing table.
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    AWS Data Exchange (ADX)

    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

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    Data sets (1)

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    You will receive access to the following data sets.

    Data set name
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    Historical revisions
    Future revisions
    Sensitive information
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    Data samples
    Neighborhood Boundaries Global Sample
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    Not included

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