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    David Ledebuhr, East Lansing, MI

    License ID: 6502109685
    Years of Experience
    37
    Association
    Greater Lansing Association Of Realtors

    Service Locations

    Contact details

    Phone:
    (517) 332-3582
    Office Address:
    322 Abbot Road, East Lansing, MI 48823

    Property Types

    • Commercial Lease
    • Commercial Sale

    Performance

    Listings
    6
    Total transactions
    92
    Total transactions amount
    $24M
    Price range
    $100k - 515k
    Average price
    $261k

    Listings

    For Sale (3)

    View map
    • $429,900
      3,632 SF

      Charming Okemos Office Building For Sale

      Classic 2.5-story Cape Cod office building in downtown Okemos.
      4632 Okemos Rd, Okemos, MI 48864
      View Details
    • $185,000
      Pending

      Lansing Warehouse with Flexible Suites

      Well-maintained warehouse with high ceilings and flexible suite options.
      536 Beech St, Lansing, MI 48912
      View Details
    • $2,950,000
      1.12 Acres

      Okemos Commercial Property For Sale

      Commercial property in Okemos retail corridor with high traffic and visibility.
      1930 W Grand River Ave, Okemos, MI 48864
      View Details

    For Lease (3)

    View map
    • $10 SF/Yr
      10,670 SF

      East Lansing Office Space Available

      Affordable office space directly across from MSU campus.
      507-1/2 E Grand Riv Ave Unit, East Lansing, MI 48823
      View Details
    • $10 SF/Yr
      6,534 SF

      East Lansing Office Space Available

      Office space in the heart of downtown East Lansing.
      231 M. A. C. Ave Unit, East Lansing, MI 48823
      View Details
    • $27 SF/Yr
      9,251 SF

      Restaurant Space Near Meridian Mall

      Restaurant-ready commercial space in a high-traffic location near Meridian Mall.
      1938 W Grand River Ave, Okemos, MI 48864
      View Details

    Leases and Sales on Map

    • For Sale
    • For Lease

    Properties for sale

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    David Ledebuhr, East Lansing, MI
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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.

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    David Ledebuhr, East Lansing, MI
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