106 Prospect St South Orange Village Twp., NJ
$ 1,999,999
Property Attributes
  • ID#3708845
  • TypeCommercial
  • CountyESSEX
  • CitySouth Orange Village Twp.
  • AreaSouth Orange Village Twp.
  • Zip07079
  • StyleOffcApts
  • Year Built1905
  • Taxes$ 12195
  • Price$ 1,999,999
  • Bedrooms0
  • Full Bathrooms0
  • Half Bathrooms4
  • Lot Size11,761 SqFt
Listing Provided Courtesy Of:
Data Source:
Garden State MLS
Property Description

Located blocks away from South Orange Train Station, Seton Hall University, many restaurants and major highways. Great income producing property with the possibility of a subdivision. Use your imagination to add more to this already renovated building.

Price History
4/30/2021 Listed $1,999,999

General Features

Basement Bilco-Style Door, Storage, Unfinished
Construction Brick/Block, Wood
Cooling Ductless Split AC
Drive Assigned, Blacktop, Off-Street Parking, Parking Lot-Shared
Flooring Laminate, Wood
Garage Spaces 26
Heating Baseboard - Hotwater, Forced Hot Air
Num Apts 2
Prior Use Office/Residential
Property Type OffcApts
Property Type Mixed Use, Office/Apartments
Roof Flat, Rubberized
Sewer Public Sewer
Tax Annual Amount 12195
Total Units 3
Town # 1619
Township South Orange Village Twp.
Utilities Electric, Gas-Natural
Zoning R-C1

Interior Features

Fuel Type Electric, Gas-Natural
Num 1 Bdrm Units 1
Num 3 Bdrm Units 1
Num Units W/full Bath 2

Exterior Features

Building Area Total 3835
Exterior Description Brick/Block, Concrete
Lot Dimensions .274 AC
Lot Features Irregular Lot, Possible Subdivision
Max Ceiling Height 10
Max Door Height 8
Water Source Public Water


  • Foreclosure
  • Views
  • Short Sale
  • New Construction
  • Adult 55+
  • Lease To Own
  • No HOA Fees
  • Furnished
  • Primary On Main
  • Air Conditioning
  • Seller Finance
  • Green
  • Fixer Upper
  • Horse
  • Golf
  • Fireplace
  • Deck
  • Garage
  • Basement
  • Pool

Property vs Commercial Average in 07079

AVG $670K
AVG $12,195
AVG 241
Year Built
AVG 1922
AVG 86
Data Provided by Walkscore ® not using MLS data

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