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    Brokers
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    • Brokers

    Daniel Bates, Mcclellanville, SC

    License ID: 79028
    Years of Experience
    17
    Association
    Charleston Trident Association Of Realtors Inc

    Service Locations

    Contact details

    Phone:
    (843) 606-0622
    Office Address:
    380 Mouzons Bluff, McClellanville, SC 29458

    Property Types

    • Land

    Performance

    Listings
    4
    Total transactions
    76
    Total transactions amount
    $25M
    Price range
    $359k - 3.5M
    Average price
    $329k

    Listings

    For Sale (4)

    View map
    • $189,000
      1.90 Acres

      Wooded Lot Near Intracoastal Waterway

      1.9 acre wooded lot near community dock and historic downtown.
      2006 Becca Ln, McClellanville, SC 29458
      View Details
    • $399,000
      35.47 Acres

      Expansive Land in Shulerville, SC

      35.47-acre tract bordering Francis Marion National Forest.
      Dollys Ln, Shulerville, SC 29453
      View Details
    • $179,000
      0.56 Acres

      McClellanville Building Lot For Sale

      Cleared lot in historic district, close to amenities.
      211 Cassena St, McClellanville, SC 29458
      View Details
    • $3,500,000
      100.35 Acres

      McClellanville Land For Sale

      Ready-made development opportunity near Mt. Pleasant with seller financing.
      Placid Dr, McClellanville, SC 29458
      View Details

    Leases and Sales on Map

    • For Sale

    Properties for sale

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    Daniel Bates, Mcclellanville, SC
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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.

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    Daniel Bates, Mcclellanville, SC
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