Connect

Find us on...

Dashboard

Login using...

Jill Taylor

Real Estate Advisor

  • Office 918.994.1235
  • Cell 918.595.5983
Questions?

3926 E 32nd Street, Tulsa, Oklahoma – $159,900

  • 3 Beds
  • 2 Baths
  • 1,481 Sqft
  • .24 Acres
  • 3 Beds
  • 2 Baths
  • 1,481 Sqft
  • .24 Acres

3926 E 32nd Street

Nicely Renovated Mid-Town Ranch, large lot, 3 Bed, 2 Bath, Large Master W/walk-in, master bath w/separate tub/shower, kitchen w/granite and SS appliances, inside laundry, nice HWF, backyard has large patio, shed and basketball court. Patrick Henry and Edison schools.

Essential Information

  • MLS® #2005710
  • Price$159,900
  • Bedrooms3
  • Bathrooms2.00
  • Full Baths2
  • Square Footage1,481
  • Square FootageCourt House
  • Acres0.24
  • Year Built1953
  • TypeResidential
  • Sub-TypeHouse
  • StyleRanch
  • StatusActive

Community Information

  • Address3926 E 32nd Street
  • SubdivisionVIRGINIA TERRACE RESUB B9-1
  • CityTulsa
  • CountyTulsa
  • StateOklahoma
  • Zip Code74135

Amenities

  • # of Garages1
  • GaragesElec Overhead Door, Shelves
  • PoolNone

Utilities

Electric, Gas, Water, Cable TV, Phone

Features

Ceiling Fans, Attic Vent - Electric, Programmable Thermostat, Storm Doors

Interior

  • HeatingCentral
  • CoolingCentral AC
  • BasementNone
  • # of Stories1
  • Stories1.000

Interior Features

Cable TV Wired, Security System-Owned, Smoke Detector, Satellite Dish Wired

Appliances

Dishwasher, Disposal, Refrigerator

Exterior

  • ExteriorWood, Partial Brick
  • Lot DescriptionMature Trees
  • ConstructionWood Frame
  • FoundationCrawl Space

Exterior Features

Gutters, Other Exterior Feature

School Information

  • DistrictTulsa (1)
  • ElementaryPatrick Henry
  • HighEdison

Listing Details

  • AgentCharles Mcbride
  • This (property or listing) is courtesy of Bailey-Foristell, Inc.
Please provide a valid email address.

The information being provided by the NORES MLS is exclusively for consumers' personal, non-commercial use, and it may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing. The data is deemed reliable but is not guaranteed accurate by the MLS.