Your AI Navigator in Commercial Real Estate
Sign Up Successful!
You now have access to more from Realmo!
Property Lookup
    Property Lookup
    • For Sale
    • For Lease
    • Recently Sold
    • Property Lookup
    • Brokers
    AI Search
    Back to Search
    Property profile & analytics

    7660 300th N Mongo, IN 46771

    • Retail space
    • 1,586 SF
    • 0.03 lot acres
    OFF-MARKET
    Value Estimation
    Location Intelligence
    Property ID
    US31-0175729
    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

    • Retail space

    Property Details for 7660 300th N

    Year built
    1900
    Construction
    WOOD
    Lot size
    0.03 lot acres
    Property size
    1,586 SF
    Property type
    Retail space
    APN
    44-08-08-200-010.001-016
    APU
    440808200010001016

    Value Estimation

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

    • CAP approach

    • Comparable approach

    • Alternative Use

    Location Insight

    • Map
    • Local Demand
    City
    Mongo
    County
    Lagrange
    State
    Indiana
    Longitude
    -85.2795
    Latitude
    41.6854

    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
    $858
    $2,800
    $80,600
    $83,400
    -
    $2,800
    $80,600
    $83,400

    Comparable in this City

    • Value Estimation by Request
      4,030 SF

      3000 State Rd 3rd 3

      RETAIL STORES (PERSONAL SERVICES) • 4,030 SF
      3000 State Rd 3rd 3, Mongo, IN 46771-7700
      View Details
    • Value Estimation by Request
      12.50 Acres

      300 300th Nn

      VACANT COMMERCIAL LAND • 12.50 Acres
      300 300th Nn, Mongo, IN 46771
      View Details
    • Value Estimation by Request
      8,640 SF

      3050 State Rd 3rd 3

      COMMERCIAL (GENERAL) • 8,640 SF
      3050 State Rd 3rd 3, Mongo, IN 46771
      View Details
    • Value Estimation by Request
      4,780 SF

      7665 300th N

      COMMERCIAL (GENERAL) • 4,780 SF
      7665 300th N, Mongo, IN 46771
      View Details
    • Value Estimation by Request
      9,568 SF

      7735 300th N

      INDUSTRIAL (GENERAL) • 9,568 SF
      7735 300th N, Mongo, IN 46771
      View Details
    • Value Estimation by Request
      2,000 SF

      7885 300th N

      COMMERCIAL (GENERAL) • 2,000 SF
      7885 300th N, Mongo, IN 46771
      View Details
    Request Owner's contact information
    Message sent successfully
    Error
    If you are the owner or broker of this property and would like to edit or remove this listing please send a message to web site administrator.
    7660 300th N
    Mongo, IN 46771
    Message sent successfully
    Error
    Email to Your Friends
    Link copied to clipboard
    Separate multiple addresses with a comma
    Message sent successfully
    Error

    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
    Thanks! Your message was sent.
    Error! Your message wasn't sent.
    Please enter your name
    Please enter email
    Please enter the email in the correct format
    Please enter phone
    Please enter the number in the correct format
    Please enter message
    Google sign-in failed. Please try again or use another login method.
    Create New Password
    • At least 8 characters
    • Contains both letters and numbers
    • Contains uppercase and lowercase letters
    • At most 32 characters
    • Password required
    • Password reset link has expired. Please request a new one.