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    Danzler Rd Duncan, SC 29334

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    For Lease
    Contact for pricing

    New industrial development with warehouse and laydown yard for lease.

    Property size:
    12,000 SF
    Lot size:
    12,000 SF

    Property Features for Danzler Rd

    General Information

    Size
    12,000 SF

    Source: Jordan Skellie, SIOR Agent Jordan Skellie, SIOR

    Displayed information is deemed reliable but is not guaranteed and should be independently verified.

    Overview

    Industrial Outdoor Storage Opportunity

    This industrial outdoor storage opportunity is located on Danzler Road in Duncan, South Carolina. The new development is set to be completed in 2025 and will feature two 12,000 square foot warehouses, each including 500 square feet of spec office space and 11,500 square feet of warehouse space. The site also offers a 9-acre fully fenced laydown yard. The property is located in Spartanburg County, approximately 2.0 miles from I-85, and has I-85 visibility. The warehouse features a 20' clear height, twelve drive-in doors, and six drive-thru bays. This location offers an industrial solution in a growing region and is suited for companies looking to expand their footprint in Upstate, SC.
    Location Intelligence

    Current Use by Public Records

    Warehouses

    Similar Places Nearby

    Main Street Storage

    Map

    City
    Duncan
    County
    Spartanburg
    State
    South Carolina
    Longitude
    -82.126313
    Latitude
    34.931116

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    FAQs

    What type of property is this?
    Warehouse - New industrial development with warehouse and laydown yard for lease.
    Where is this warehouse located?
    The property is located at Danzler Rd Duncan, SC.
    What are key features of this property?
    This property features: - ±9 Acres Fully Fenced Laydown Yard; - ±2.0 Miles to I-85 Access; - I-85 Visibility
    (864) 238-2188
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    Danzler Rd Duncan, SC 29334
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    Duncan, SC 29334
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    Realmo Value Estimation

    Realmo estimates a property’s market value using a proprietary methodology that incorporates public data and user-submitted information. This cumulative value is generated by integrating a variety of conventional and innovative methods. 

    Disclaimer

    These figures are not official appraisals and should not be used as a substitute for a valuation performed by a licensed appraiser.

    Actual market value may differ due to factors not captured in the data. Estimates are offered for informational purposes only, and users should conduct independent research before making financial or investment decisions.

    By using this feature, you acknowledge that Realmo is not responsible for actions taken based on these estimates.

    AI approach

    Realmo AI Method estimates property value using machine learning models trained on millions of comparable listings, transactions, and market signals. It analyzes property features, location intelligence data, and current market dynamics to predict the most probable market value in real time.

    Cap approach

    Capitalization Method calculates value based on estimated net operating income (NOI) and applying a market-based capitalization rate (cap rate), we estimate what a typical investor might be willing to pay for it.

    Comparable approach

    Comparable estimate is based on recent sales of similar nearby properties, adjusted for factors like size, condition, and location.

    Relative

    Relative property class coefficient uses factors that account for typical price differences between various asset types (e.g., retail vs. industrial) to provide a more accurate market-aligned estimate.

    Geo

    Comparable Sales Method, enhanced by Geo coefficients — location-based adjustment factors that reflect differences in price levels across neighborhoods, cities, or regions ensuring a more accurate, market-sensitive valuation.

    Alternative use

    Estimate considers the property’s potential value if used for a different purpose-based on zoning, demand, and market feasibility.

    More about this property
    Danzler Rd Duncan, SC 29334
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