Waterfront - Pets Allowed
Address
11950 N Bayshore N Bayshore Dr # 33 North Miami, FL
Price
$ 1,600
Property Attributes
  • MLS#A10870841
  • TypeRentals
  • CountyMIAMI-DADE
  • CityNorth Miami
  • Area22
  • NeighborhoodMid Bay CLub
  • Zip33181
  • StyleApartment
  • Price$ 1,600
  • Bedrooms1
  • Full Bathrooms1
  • Half Bathrooms0
Listing Provided Courtesy Of:
RE/MAX Advance Realty II
Property Description

Wonderful apartment with amazing water view. 1 Bedroom 1 bath. Building includes bbq, pool, kayaks available, seawall for great fishing, laundry on site,1 assigned parking and extra parking if needed. Near to publix, gym, markets, gas station, 5 minutes from Bay Harbor beaches PETS allow FEE USD 200 No refundable NO association FEE Rapid Approval Ready to move

Price History
6/16/2020 Listed $1,600

General Features

Association Amenities Pool
Association Fee Includes Pools
Community Features LaundryFacilities, Pool
Cooling CentralAir
Exterior Features Balcony, Barbecue
Flooring CeramicTile
Garage Spaces 2.0
Garage Y/N Yes
Interior Features Elevator
MLS Area 22
Parking Features Assigned
Patio/Porch Features Balcony, Open
Pets Allowed SizeLimit, Yes
Pool Features InGround, Pool, Community
Property SubType Apartment
Property Type ResidentialLease
Security Features SmokeDetectors
Senior Community Y/N No
Unit Number 33
View Bay, Ocean
Waterfront Features BayAccess, Seawall
Zoning Description 3800

Interior Features

Air Conditioning Y/N Yes
Full Baths 1
Furnished Y/N Unfurnished

Exterior Features

Covered Spaces 2.0
Frontage Length 1000
View Y/N Yes
Waterfront Y/N Yes

Amenities

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

Property vs Zip Code Average in 33181

Price
AVG $K
$K
Visits
AVG 15
8
Year Built
AVG 1978
1964
Walkscore
AVG 53
63
Data Provided by Walkscore ® not using MLS data

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