Property Map

$189,900 – 175 Pamela Avenue, Dayton, OH 45415

Street View

$189,900
3 Beds
2 Baths
1,269 SqFt
0.25 Acre Lot
10,890 Sqft Lot
Status Pending
Property Type Single Family Residence
Price Type
Year Built 1956
Neighborhood
Days on Website 62

Courtesy of Lagonda Creek Real Estate, LLC 937-342-9995, Tyler Mead 937-284-2474.

Description

Welcome Home! Sitting at 175 Pamela Ave, Dayton, OH 45415 is this brick ranch with 3 bedrooms, 2 full baths, a 2 car attached garage and a 1 car detached garage. Situated on .25 acre this home has just over 1,200 square feet of living space. Entering from the front porch you’re greeted into the living room with wood floors, and a wood burning fireplace (not warranted). Open to the dining room, the kitchen offers a cooktop, wall oven, dishwasher and refrigerator. The first floor offers three large bedrooms and one full bath. The basement has a large family room, utility room with washer and dryer and a large bonus room. The basement also features the second full bathroom. With a fully fenced backyard, a covered patio and a single car detached garage, schedule your private showing today!

Property Details and Features

Basement

  • “Full”

Bathrooms

  • 2 full bathrooms
  • 2 total bathrooms (decimal)
  • 2 total bathrooms (integer)

Bedrooms

  • 3 total bedrooms
  • 3 Main Level Bedrooms

Building

  • Building area total: 1,269
  • Living area: 1,269
  • Architectural style: “1 Story”
  • Built in 1956

Cooling

  • “Central”

Exterior Features

  • “Fenced Yard”
  • “Patio”

Fireplaces

  • “One”

Garage

  • 3 spaces

Heating

  • “Forced Air”

Interior Features

  • “Dishwasher”
  • “Gas Water Heater”
  • “Refrigerator”

Listing

  • 40 days on market
  • Listingid: 224033879
  • Standard status: Pending

Lot

  • 0.25 acres
  • Lot size area: 0
  • 10,890 square feet

Parking

  • “Attached Garage”
  • “Detached Garage”

Sewer

  • “Public Sewer”

Taxes

  • Tax annual amount: $4,872
  • Tax year: 2023

Property Inquiry

Showing Inquiry

  • Date Format: MM slash DD slash YYYY