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    Locust Gap Rd, Unit 2 Mountain City, TN 37683

    For Sale
    $50,000

    LAND - Mountain City, TN

    Lot size:
    1.24 Acres
    Days on Market:
    97
    Last Refresh:
    Dec 10 at 5:06 pm

    Property Features for Locust Gap Rd

    General Information

    Property type
    Land
    Property subtype
    Other
    Standard status
    Active
    APN
    085-10.08
    Lot size
    1.24 Acres

    GENERAL REALTY OF TENNESSEE (423) 727-4524

    Listing agent James Bonifacino (423) 727-4524 License #250564

    Listing date Sep 5, 2025

    MLS# 9985407 Listing URL

    Copyright © 2025 Tennessee Virginia Regional Multiple Listing Service. All rights reserved. All information provided by the listing agent/broker is deemed reliable but is not guaranteed and should be independently verified.

    Overview

    Mountain City Wooded Lot

    This is a 1.24-acre wooded lot located in a rural area near Mountain City, Tennessee. The property is characterized by a peaceful and quiet environment with an abundance of trees and natural surroundings.
    Property Profile Location Intelligence

    Current Use by Public Records

    Residential land & home ...

    Map

    City
    Mountain City
    County
    Johnson
    State
    Tennessee
    Longitude
    -81.859782
    Latitude
    36.369099

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    FAQs

    What type of property is this?
    Land - Wooded 1.24 acre lot in a quiet, rural setting.
    Where is this land located?
    The property is located at Locust Gap Rd, Unit 2 Mountain City, TN.
    What is the asking price?
    The asking price for this property is $50,000.
    What are key features of this property?
    This property features: - Wooded lot in a country setting.; - Enjoy a peaceful and quiet environment.; - Abundance of trees.
    (423) 727-4524
    Request Owner's contact information
    Locust Gap Rd, Unit 2 Mountain City, TN 37683
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    Mountain City, TN 37683
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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
    Locust Gap Rd, Unit 2 Mountain City, TN 37683
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