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    Property profile & analytics

    7731 Old Floral City Rd Floral City, FL 34436-2753

    • Strip malls
    • 2,700 SF
    • 0.38 lot acres
    OFF-MARKET
    Value Estimation
    $175,000
    Last Sale
    Jun 28, 2021
    $191,000
    Location Intelligence
    Property ID
    US18-9335659
    The Realmo ID is a unique identifier assigned to every property, incorporating country codes and precise geo-coordinates for 300x300-foot land blocks. It enables standardized data collection and seamless integration of disparate sources such as ownership, tax, title data and physical specifications. By aggregating current and historical records, the Realmo ID powers advanced analytics and delivers deep, verifiable insights for real estate professionals.

    Current Use by Public Records

    • Floral City Computer / Computer Repair Service

    Property Details for 7731 Old Floral City Rd

    Year built
    1987
    Construction
    MASONRY/CONCRETE MASONRY UNITS (CMUS)
    Lot size
    0.38 lot acres
    Property size
    2,700 SF
    Zone code
    CLR COASTAL LAKES & RVRS
    Property type
    Strip malls
    Property subtype
    Neighborhood centers
    APN
    20E-20S-15-0050-00180-008.0
    APU
    20E20S150050001800080

    Value Estimation

    by Realmo proprietary methodology Last update: July 3, 2025

    • AI approach

      CAP return
      Estimation
      Estimation
      $190,000

    • CAP approach

      CAP return
      Estimation
      6%
      $125,000
      6.5%
      $135,000
      7%
      $140,000

    • Comparable approach

      Method
      Estimation
      Relative Method
      $130,000
      Geo Method
      $135,000

    • Alternative Use

      Use
      Estimation
      Distribution
      $160,000
      Retail
      $130,000
      Mixed-Use
      $160,000
      Hospitality
      $160,000
      Educational
      $125,000
      Residential Income
      $125,000
      Energy
      $150,000
      Income-Based Land
      $120,000
      Food Service
      $130,000

    Location Insight

    • Map
    • Local Demand
    City
    Floral City
    County
    Citrus
    State
    Florida
    Longitude
    -82.2946
    Latitude
    28.7505
    CBSA code
    26140
    CBSA name
    HOMOSASSA SPRINGS, FL MICROPOLITAN STATISTICAL AREA

    Property Tax & Assessments

    Tax date
    Tax Amount
    Assessed Land Value
    Assessed Improvement Value
    Total Assessed Value
    Applied Tax Rate
    Land Market Value
    Improvement Market Value
    Total Market Value
    2023
    $3,241
    $44,480
    $152,870
    $197,350
    -
    $44,480
    $152,870
    $197,350

    Comparable in this City

    • Value Estimation
      $175,000
      2,250 SF

      7109 Florida Ave

      SHOPPING CENTER, STRIP CENTER • 2,250 SF
      7109 Florida Ave, Floral City, FL 34436-2314
      View Details
    • Value Estimation by Request
      8,000 SF

      7150 Florida Ave

      WHOLESALE OUTLET, DISCOUNT STORE • 8,000 SF
      7150 Florida Ave, Floral City, FL 34436-2313
      View Details
    • Value Estimation
      $825,000
      8,946 SF

      6958 Florida Ave

      WHOLESALE OUTLET, DISCOUNT STORE • 8,946 SF
      6958 Florida Ave, Floral City, FL 34436-2309
      View Details
    • Value Estimation
      $115,000
      2,887 SF

      7791 Florida Ave

      RETAIL STORES (PERSONAL SERVICES) • 2,887 SF
      7791 Florida Ave, Floral City, FL 34436-3102
      View Details
    • Value Estimation
      $160,000
      2,779 SF

      7805 Florida Ave

      RETAIL STORES (PERSONAL SERVICES) • 2,779 SF
      7805 Florida Ave, Floral City, FL 34436-3104
      View Details
    • Value Estimation by Request
      800 SF

      5636 Florida Ave

      RETAIL STORES (PERSONAL SERVICES) • 800 SF
      5636 Florida Ave, Floral City, FL 34436-2013
      View Details

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    • Contact for pricing
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      One-acre waterfront property for sale in Floral City, Florida.
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      Vacant Lot on US-41

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    7731 Old Floral City Rd
    Floral City, FL 34436-2753
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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
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