300 Union Avenue A, Union Beach, NJ

$699,000

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3

Beds

3

Baths

1,750

Square feet

About 300 Union Avenue A

Welcome to Prospect on Union, a boutique 6-home new-construction community just two blocks from the Union Beach waterfront. This 3-bedroom, 2.5-bath residence offers approx. 1,750 sq ft, a 2-car attached garage, 9-ft+ first-floor ceilings and an open-concept living area filled with natural light. The kitchen features a center island, stone counters, stainless appliances and pantry. Enjoy bay views and a 10x14 deck off the kitchen, plus 2-zone heat/AC and tankless hot water. Modern coastal living with the space, finishes and convenience of brand-new construction. Some photos have been virtually staged using AI for illustrative purposes.

Features of 300 Union Avenue A

MLS® # 22619661
Price $699,000
Bedrooms 3
Bathrooms 3.00
Full Baths 2
Half Baths 1
Square Footage 1,750
Type Residential
Sub-Type Condominium
Status Active

Community Information

Address 300 Union Avenue A
Area Union Beach (UNI)
Subdivision Union
City Union Beach
County Monmouth
State NJ
Zip Code 07735

Amenities

Amenities Management, Association
Parking Assigned, Concrete, Driveway, On Street
# of Garages 2
Garages Attached
View Waterview
Is Waterfront No
Waterfront Bayview
Has Pool No

Interior

Interior Features Attic - Pull Down Stairs, Balcony, Ceilings -
Heating Natural Gas, 2 Zoned Heat
Cooling 2 Zoned AC
Fireplace No
# of Stories 3

Exterior

Exterior Features Balcony
Lot Description Corner Lot
Roof Shingle

School Information

Middle Memorial

Additional Information

Short Sale No
RE / Bank Owned No

Listing Details

AgentLawrence Vecchio
OfficeVRI Homes

Listing Map

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The data relating to real estate on this web site comes in part from the Internet Data Exchange program of the MLS of the Monmouth County Association of REALTORS®, and is updated as of September 25th, 2026 at 6:26pm EDT (date/time). IDX information is provided exclusively for consumers' personal, non-commercial use and may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing.