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    4626-4716 Calumet Ave Manitowoc, WI 54220

    • Land
    • 1.27 lot acres
    For Sale
    View listing
    $750,000
    Value Estimation
    Location Intelligence

    Current Use by Public Records

    • Land

    Property Details for 4626-4716 Calumet Ave

    Lot size
    1.27 lot acres
    Property type
    Land

    Description

    This exceptional 1.27-acre commercial land parcel presents a remarkable investment opportunity in Manitowoc, Wisconsin. Located at 4626-4716 Calumet Avenue, this property is zoned B-3 General Business District, offering a wide range of potential uses. The expansive lot size provides ample space for development, making it ideal for a variety of commercial ventures. The asking price for this strategically located land is $750,000. Situated in Manitowoc County, Wisconsin, with a zip code of 54220, this property boasts convenient access to major transportation routes and essential amenities. Its prime location within the B-3 General Business District ensures flexibility for diverse commercial projects. The coordinates for this property are latitude 44.074181 and longitude -87.7087665. This is a rare opportunity to acquire a substantial commercial land parcel in a thriving Wisconsin community. Don't miss out on this chance to build your business in a highly desirable location. Serious inquiries are encouraged. The property is ready for immediate development, presenting a unique opportunity for investors and entrepreneurs alike. This is a blank canvas for your next commercial endeavor.

    Value Estimation

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

    • CAP approach

    • Comparable approach

    • Alternative Use

    Location Insight

    • Map
    • Local Demand
    City
    Manitowoc
    County
    Manitowoc
    State
    Wisconsin
    Longitude
    -87.7088
    Latitude
    44.0742

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    Similar Nearby for Lease

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    4626-4716 Calumet Ave
    Manitowoc, WI 54220
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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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