Steven Rodriguez
Office: 954.900.9811
Cell: 954.937.4887
1900 N Bayshore Dr 4011, Miami
$650,000
2 Beds
2 Baths
1,180 Sqft
0 Acre
1 Garage
Fantastic Unit located at the Quantum on the bay corner unit fantastic city views, located close to the airport. shopping malls and places of entertainment
**** ATTENTION UNIT IS A 2 BED / 2 BATH *****
Essential Information
MLS® #A11532574
Price$650,000
Bedrooms2
Bathrooms2.00
Full Baths2
Square Footage1,180
Acres0.00
Year Built2008
TypeCondo/co-op/villa/townhouse
Sub-TypeCondominium
StatusActive
Community Information
Address1900 N Bayshore Dr 4011
Area40
SubdivisionQUANTUM ON THE BAY CONDO
CityMiami
CountyMiami-Dade County
StateFL
Zip Code33132-3022
Amenities
AmenitiesBike Storage, Elevator(s)
ParkingOne Space
# of Garages1
ViewCity, Pool
Is WaterfrontYes
WaterfrontBay Front
Interior
InteriorCeramic Tile, Laminate
HeatingElectric
CoolingCentral Air
Appliances
Dishwasher, Electric Water Heater, Trash Compactor
Exterior
Exterior FeaturesBarbecue, None
ConstructionBlock
School Information
ElementaryWheatley; Phyllis
Middlede Diego; Jose
HighWashington; Brooker T
Additional Information
Date ListedFebruary 13th, 2024
Days on Market78
HOA Fees1250
Contact Info954-260-1510
HOA Fees Freq.Monthly
Listing Details
Listing Courtesy ofLoKation
LISTING MAP
The data relating to real estate on this web site comes in part from the Internet Data Exchange program of the MLS of the Miami Association of REALTORS®, and is updated as of May 1st, 2024 at 8:16pm EDT (date/time).
All information is deemed reliable but not guaranteed by the MLS and should be independently verified. All properties are subject to prior sale, change, or withdrawal. Neither listing broker(s) nor Beckett Realty shall be responsible for any typographical errors, misinformation, or misprints, and shall be held totally harmless from any damages arising from reliance upon these data. © 2024 MLS of MAR.
The information being provided is 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
