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    4304 Florence St, Unit 10 Birmingham, AL 35217

    For Sale
    Contact for pricing

    Vacant lot ready for new construction or investment property.

    Lot size:
    0.16 Acres

    Property Features for 4304 Florence St

    General Information

    Lot size
    0.16 Acres

    Source: Keller Williams Realty Birmingham-Metro North Agent Robyn Sirmans

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

    Overview

    Residential Lot in Established Neighborhood

    This vacant lot is situated in an established residential neighborhood, positioned between two homes. The property is suitable for new construction or as an investment opportunity.
    Property Profile Insight Report Location Intelligence

    Current Use by Public Records

    Residential land & home ...

    Suggested Use

    Restaurant Dental Office Hair Salon Nail Salon Building Supply Clothing Store Auto Repair Shop Gym & Fitness Pharmacy Wholesale Shop

    Zoning and permitted uses should be independently verified with local authorities.

    Location Insight

    • Map
    • Local Demand
    City
    Birmingham
    County
    Shelby
    State
    Alabama
    Longitude
    -86.785318
    Latitude
    33.564606

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    FAQs

    What type of property is this?
    Land - Vacant lot ready for new construction or investment property.
    Where is this land located?
    The property is located at 4304 Florence St, Unit 10 Birmingham, AL.
    What is the asking price?
    The asking price for this property is $9,000.
    What are key features of this property?
    This property features: - Vacant lot ready for new construction.; - Located in an established residential neighborhood.; - Suitable for a new home or investment property.
    (205) 923-6300
    Request Owner's contact information
    4304 Florence St, Unit 10 Birmingham, AL 35217
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    Birmingham, AL 35217
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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
    4304 Florence St, Unit 10 Birmingham, AL 35217
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