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    2670 Monroe Rd Green Bay, WI 54311

    • Land
    • 1.00 lot acres
    For Sale
    View listing
    $950,000
    Value Estimation
    Location Intelligence

    Current Use by Public Records

    • Land

    Property Details for 2670 Monroe Rd

    Lot size
    1.00 lot acres
    Property type
    Land

    Description

    This exceptional one-acre commercial land parcel in Green Bay, Wisconsin, presents a unique investment opportunity. Located at 2670 Monroe Rd, this property boasts a highly visible location at a signalized intersection just one block from Highway 172, ensuring significant traffic exposure. Ideal for a variety of commercial developments, the site is perfectly suited for a free-standing bank, quick-service restaurant, or professional office building. The developer is known for their responsiveness and willingness to negotiate terms and building plans to meet specific needs. The asking price for this prime commercial land is $950,000. The property's address is 2670 Monroe Rd, Green Bay, WI 54311, situated in Brown County. Its convenient location near a major highway offers unparalleled accessibility and visibility, making it an attractive proposition for businesses seeking a high-traffic location. The flexibility in terms and build-out allows for customization to suit a variety of development plans. This is a rare opportunity to acquire a highly desirable commercial lot in a thriving area. Don't miss out on this chance to secure a prime location for your next commercial venture. The property's latitude and longitude coordinates are 44.453198, -87.995721 respectively.

    Value Estimation

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

    • CAP approach

    • Comparable approach

    • Alternative Use

    Location Insight

    • Map
    • Local Demand
    City
    Green Bay
    County
    Brown
    State
    Wisconsin
    Longitude
    -87.9957
    Latitude
    44.4532

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    2670 Monroe Rd
    Green Bay, WI 54311
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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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