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    00000 56 Hwy Osage City, KS 66532

    • Specialty properties
    • 17.30 lot acres
    OFF-MARKET
    Value Estimation
    Location Intelligence

    Current Use by Public Records

    • Specialty properties

    Property Details for 00000 56 Hwy

    Lot size
    17.30 lot acres
    Property type
    Specialty properties
    Property subtype
    Land

    Description

    Discover "Field of Dreams," a remarkable 17.3-acre property nestled in Osage County, Kansas, boasting stunning views of rolling terrain. This exceptional tract offers convenient highway frontage on Highway 56 and Burlingame Road, just five miles north of Osage City, combining easy accessibility with a tranquil rural setting. Utilities are available at the roadside, and a water meter installation has been approved. The property features multiple picturesque building sites, allowing for diverse development options—from roadside locations to secluded spots nestled near a creek and woods, all showcasing breathtaking views of a newly constructed custom pond. Its strategic location places it within easy reach of abundant recreational opportunities. Melvern Lake and Pomona Lake, both within a 22-mile radius, provide a combined 11,000 acres of water and 18,000 acres of public land, perfect for fishing, skiing, hunting, and camping. This versatile property presents an unparalleled blend of natural beauty and recreational access, making it an ideal investment for those seeking a peaceful retreat or a unique development opportunity. The asking price is $132,500. The property's zip code is 66532.

    Value Estimation

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

    • CAP approach

    • Comparable approach

    • Alternative Use

    Location Insight

    • Map
    • Local Demand
    City
    Osage City
    County
    Osage, KS
    State
    Kansas
    Longitude
    -95.8258
    Latitude
    38.6339

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    00000 56 Hwy
    Osage City, KS 66532
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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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