Sold
Listing Courtesy of: PACMLS / Listed By: Elisa Enders, Coldwell Banker Tomlinson
4912 Monrovia Lane Pasco, WA 99301
Sold on 06/12/2026
$564,900 (USD)
Sold Date:
06/12/2026
06/12/2026
Taxes
$4,084(2025)
$4,084(2025)
Lot Size
10,019 SQFT
10,019 SQFT
Type
Single-Family Home
Single-Family Home
Year Built
2004
2004
School District
Pasco
Pasco
County
Franklin County
Franklin County
Community
Desert Sunset 1
Desert Sunset 1
Listed By
Elisa Enders, Coldwell Banker Tomlinson
Bought with
Khea Longan, Windermere Group One/Tri-Cities
Khea Longan, Windermere Group One/Tri-Cities
Source
PACMLS
Last checked Jun 21 2026 at 4:25 AM PDT
PACMLS
Last checked Jun 21 2026 at 4:25 AM PDT
Bathroom Details
- Full Bathrooms: 2
- Half Bathroom: 1
Interior Features
- Dishwasher
- Refrigerator
- Microwave
- Appliances-Electric
- Appliances-Gas
- Oven
- Bath - Master
- Room - Family
- Windows: Double Pane Windows
- Dining - Kitchen/Combo
- Windows: Window Coverings
- Soaking Tub
- Walk-In Closet(s)
- Vaulted Ceiling(s)
- Cooktop
- Disposal
- Dining - Formal
- Windows: Skylight(s)
- Windows: Windows - Wood Wrapped
- Master Suite
- Pantry
- Laundry: Laundry Room
- Kitchen Island
- Room - Bonus
- Range
- Room - Theater
Subdivision
- Desert Sunset 1
Lot Information
- Located In City Limits
- Plat Map - Approved
Property Features
- Fireplace: Gas
- Fireplace: Family Room
Heating and Cooling
- Forced Air
- Fireplace(s)
Basement Information
- Crawl Space
- None
Pool Information
- Community
Homeowners Association Information
- Dues: $420/Annually
Flooring
- Carpet
- Laminate
Exterior Features
- Roof: Composition
Utility Information
- Utilities: Cable Connected, Electricity Connected, Natural Gas Connected, Sewer Connected
Garage
- Garage
Parking
- 2 Car
- Total: 2
Stories
- 2
Living Area
- 2,786 sqft
Listing Price History
Date
Event
Price
% Change
$ (+/-)
May 07, 2026
Listed
$554,900
-
-
Disclaimer: IDX information is provided exclusively by PACMLS for consumers' personal, non-commercial use, that it may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing. Data is deemed reliable but is not guaranteed accurate by the MLS.
