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    • Brokers

    Andrew Baus, Washington Township, NJ

    License ID: 1433687
    Years of Experience
    10
    Association
    Gloucester Salem Counties Board Of Realtors

    Service Locations

    Contact details

    Phone:
    (856) 904-5636

    Property Types

    • Commercial Sale
    • Land
    • Residential Multi Family

    Performance

    Listings
    7
    Total transactions
    290
    Total transactions amount
    $67M
    Price range
    $154k - 347k
    Average price
    $231k

    Listings

    For Sale (7)

    View map
    • $50,000
      Pending

      Residential Lot in Stone Forest

      Residential lot available in Stone Forest neighborhood.
      248 Karen Dr, Williamstown, NJ 08094
      View Details
    • $1,300,000

      Wildwood Four-Plex with Upgrades

      Four units on a large lot with off-street parking.
      208 E Maple Ave, Wildwood, NJ 08260
      View Details
    • $599,900
      Pending

      27.45 Acres in Malaga, NJ

      27.45 acre property in Malaga, Gloucester County, New Jersey.
      106-118 Delsea Dr, Malaga, NJ 08328
      View Details
    • $150,000
      Pending

      Residential Land in Elk Township

      5+ acre lot near Route 55, close to Philadelphia.
      L4 Railroad Ave, Monroeville, NJ 08343
      View Details
    • $2,000,000
      4,000 SF

      Mixed-Use Building Near Jersey Shore

      Turnkey investment opportunity with market/deli and six residential units.
      100 E 24Th Ave, North Wildwood, NJ 08260
      View Details
    • $2,000,000
      4,000 SF

      Mixed-Use Investment Opportunity

      Turnkey market/deli with six residential rentals in North Wildwood.
      100 E 24Th Ave, North Wildwood, NJ 08260
      View Details
    • Contact for pricing
      3.00 Acres

      Land for Sale in Browns Mills

      3-acre lot available in Browns Mills, New Jersey.
      Wheeler Trl, Browns Mills, NJ 08015
      View Details

    Leases and Sales on Map

    • For Sale

    Properties for sale

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    Andrew Baus, Washington Township, NJ
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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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