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    234 Waverly Pl, Unit 2 South Orange, NJ 07079

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    For Lease
    $4,500 /Mo

    Five-bedroom apartment near Seton Hall University and South Orange Train.

    Lot size:
    0.13 Acres

    Property Features for 234 Waverly Pl

    General Information

    Lot size
    0.13 Acres

    Building Details

    Year built
    1904

    Source: WEICHERT REALTORS Agent TERESA DENTE

    Displayed information is deemed reliable but is not guaranteed and should be independently verified.

    Overview

    Spacious Apartment Near Seton Hall

    This spacious apartment, located on the second and third floors, features five bedrooms, a new eat-in kitchen, wood floors, and two full baths. The property is conveniently located near Seton Hall University, the South Orange Train Station, shopping, and dining. The first floor is also available for rent.
    Location Intelligence

    Current Use by Public Records

    Apartment buildings

    Suggested Use

    Law Firm Restaurant Realty agency Spa & Massage Dental Office Hair Salon Clothing Store Nail Salon Food Market Grocery Store

    Zoning and permitted uses should be independently verified with local authorities.

    Location Insight

    • Map
    • Local Demand
    City
    South Orange
    County
    Essex
    State
    New Jersey
    Longitude
    -74.2535508
    Latitude
    40.7385274

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    FAQs

    What type of property is this?
    Apartment building - Five-bedroom apartment near Seton Hall University and South Orange Train.
    Where is this apartment building located?
    The property is located at 234 Waverly Pl, Unit 2 South Orange, NJ.
    What are key features of this property?
    This property features: - Spacious 5-bedroom apartment; - Convenient location near Seton Hall University; - Proximity to South Orange Train Station
    (973) 994-4884
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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
    234 Waverly Pl, Unit 2 South Orange, NJ 07079
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