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    Property profile & analytics

    365 County Rd 300th N Greensburg, IN 47240-9774

    • Medical offices
    • 5,616 SF
    • 1.50 lot acres
    OFF-MARKET
    Value Estimation
    $345,000
    Last Sale
    Jan 29, 2024
    Location Intelligence
    Property ID
    US31-1368330
    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

    • Medical offices

    Property Details for 365 County Rd 300th N

    Year built
    2011
    Construction
    WOOD
    Lot size
    1.50 lot acres
    Property size
    5,616 SF
    Property type
    Medical offices
    Property subtype
    Medical centers
    APN
    16-06-25-000-003.010-015
    APU
    160625000003010015

    Value Estimation

    Powered by Realmo proprietary methodology Last update: July 3, 2025

    • CAP approach

    • Comparable approach

    • Alternative Use

    Location Insight

    • Map
    • Local Demand
    City
    Greensburg
    County
    Decatur
    State
    Indiana
    Longitude
    -85.4725
    Latitude
    39.3803
    CBSA code
    24700
    CBSA name
    GREENSBURG, IN 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
    $4,897
    $56,300
    $308,900
    $365,200
    -
    $56,300
    $308,900
    $365,200

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      MEDICAL BUILDING • 2,430 SF
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    365 County Rd 300th N
    Greensburg, IN 47240-9774
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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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