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    Building Stock Database

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    Deployed on AWS
    The Building Stock Database (BSD) provides county-level estimates and forecasts of the stock of floor space and number of buildings (or dwelling units for residential) for 15 types of nonresidential and residential buildings.

    Overview

    The Building Stock Database (BSD) provides county-level estimates and forecasts of the stock of floor space and number of buildings (or dwelling units for residential) for 15 types of nonresidential and residential buildings. The data is in annual totals from 1970 to the present with a forecast for the next five years. This database was first built in 1985 using benchmarks for the floor space in place at that time and annually since then new square footage created from new construction and building additions has been added each year. A demolition factor is also applied to take into consideration square footage lost from the inventory. The BSD can be used and input for measuring building-related demand for energy year over year. It can be useful in estimating the size of the replacement market for various building materials and can be used for determining new markets to enter based on their existing stock of floor space by structure type.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Building Stock Database

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Product Access
    Dimension that grants access to the product for subscribers.
    $50,000.00

    Vendor refund policy

    Please contact datamarketplace@construction.com  for any issues.

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    Usage information

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    Delivery details

    AWS Data Exchange (ADX)

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

    Additional details

    Data sets (1)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    Building Stock Database
    Last 1 revisions
    All future revisions

    Resources

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