78 N Hilton Park Rd, Egelston Township, MI 49442

$485,000
4
BD
4
BA
2,058
SqFt

Show Photos

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

List Price
$485,000
MLS#
65026050140
Status
ACTIVE
Bedrooms
4
Bathrooms
4
Half-baths
2
Total Square Footage
2,058

Property Description

Set on 8.15 private acres with mature woods, this 2007-built ranch offers space, privacy, and the kind of infrastructure that's expensive to add later. A whole-house generator, 200 amp service, high-efficiency 2-stage furnace, and R48 attic insulation are already in place. Inside, high ceilings open up the main living space, with a cherry wood kitchen as the centerpiece. The main floor holds three bedrooms, including a primary suite with two large walk-in closets and a 4-piece bath, plus a private office and a half bath. Main floor laundry adds everyday convenience. The walkout lower level is unfinished and ready for your vision, offering a bedroom, flexible bonus space suited to a home office or future media room, and a bathroom roughed in for a shower. Additional features include central air, underground sprinkling, and a private setting with plenty of room to roam. This is a rare combination of acreage, systems, and space, ready for a buyer to bring their finishing touches

Additional Information

Site Description
Sprinkler System-Yard, Wooded
Year Built
2007
Basement Type
Full, Walkout
Foundation
Basement
Acres
8.15
Style
Ranch
Acres
8.15
School District
Oakridge
Heating
Forced Air, Natural Gas
Garage Spaces
3
Garage Description
Attached, Gravel

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

Courtesy of The Local Element 6162026551

IDX provided courtesy of Realcomp II Ltd., via CMS Realty, LLC and . Copyright 2026 Realcomp II Ltd. Shareholders. IDX information is provided exclusively for consumers' personal, non-commercial use and may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing and that the data is deemed reliable but not guaranteed accurate by the MLS.