1127 9000 Divide Rd Unit 302, Frisco, CO 80443

$750,000
2
BD
2
BA
1,000
SqFt

Show Photos

Verify your account to unlock exclusive photos, mortgage tools, and more.

List Price
$750,000
Status
ACTIVE
MLS#
S1071712
Bedrooms
2
Bathrooms
2
Living Area
1,000
Lot Size
37,709
Area
Frisco
Unit
302
Days On Market
0

Property Description

Lakefront condominium in Frisco with lock-off for rental income. This top-floor residence has been extensively renovated and is move-in ready. The complex backs to Lake Dillon and is just steps from the Summit County bike path, with easy walking access to paddleboarding and other lake activities. Ride less than 2 miles along the recreation path to the heart of Frisco Main Street. Centrally located in the heart of Summit County, the property is approximately 10 minutes from Copper Mountain, 15 minutes from Breckenridge, and 15 minutes from Keystone. The condo features new LVP flooring throughout, a slate tile fireplace, remodeled baths, new granite countertops, high-end stainless steel appliances, and new custom kitchen cabinets. The unique floorplan offers a flexible lock-off opportunity, making this an ideal mountain getaway or investment property.

Additional Information

Furnished
Unfurnished
Association Fee
$7,200
Assoc. Fee Freq.
Annually
Annual Tax Amount
$2,756
Utilities
Electricity Available, Natural Gas Available, Sewer Available, Trash Collection, Water Available, Cable Available, Sewer Connected
Water
Public
Neighborhood
Mountain Meadows Condo
Mls Number Orig
S1071712
Parking Features
Deeded, Parking Pad, 2 Car
Sewer
Sewer, Public Sewer
Year Built
1970

Mortgage Calculator

Amount of Loan
Annual Interest Rate
%
Term of Loan
Years

Does not include any taxes or fees.
Please consult a financial professional.
Calculator source: Real Geeks

Listing courtesy of Colorado R.E. Summit County.

© 2026 Summit Association of Realtors. Information is provided exclusively for consumers personal, non-commercial use, that it 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.