Eco Friendly
38224 LUMA TER Newark, CA
$ 1,198,888
Property Attributes
  • ML#40932432
  • TypeSingle Family
  • CountyALAMEDA
  • CityNewark
  • AreaNewark
  • Zip94560
  • StyleContemporary
  • Price$ 1,198,888
  • Bedrooms4
  • Full Bathrooms3
  • Half Bathrooms1
  • Sqr Footage2234
  • Lot Size1,742 SqFt
Listing Provided Courtesy Of:
Andy Chan with Re/Max Accord.
Property Description

The one you’ve been waiting for!! A Stunning & Impeccable Home located in Timber Community. Like-Model Luxurious Home Built in 2015 with more than $115K upgrades from Expansive Kitchen with Modern White Finish Cabinets and Premium Snow White Appliances, Microwave oven with Grill, Quartz CounterTops and Mosaic Backsplash, French Door Refrigerator to Premium Grade Hardwood Floors throughout. Fully Open Panoramic doors in the great room to the Private Deck. One Bedroom with a Full Bathroom on the 1st floor. 10’ High Ceilings with Contemporary Light Fixture and Ceiling fan.Master suite features an oversized walk-in closet; Dual zone central heat and AC. Convenient Inside LaundryRoom. Energy Efficient Washer & Dryer and Tankless Water Heater. Fantastic location is minutes to the Dumbarton Bridge, 880, Facebook Shuttle Stop, AMC theater, shopping, and restaurants. MUST SEE!!

Price History
12/21/2020 Listed $1,198,888

General Features

Age 6
Bathrooms 3
Beds 4
Garage Attached Garage
HOA Fee 186
Half Baths 1
Laundry Dryer, In Closet, Washer
Stories Three or More Stories

Interior Features

Additional Room Dining Area, Kitchen/Family Combo
Street Level 1 Bath, 1 Bedroom

Exterior Features

Lot Size Area 0.04
Lot Sq Ft Apx 1726
Pool Y/N None


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

Property vs Zip Code Average in 94560

AVG $1.16M
AVG 32
Year Built
AVG 1970
AVG 52
Data Provided by Walkscore ® not using MLS data