Big House for Sale in Sao Hai Saraburi

Roeng Rang, Sao Hai, Saraburi
  • Unit ID: U1019162
  • 3 Beds 2 Baths 114 SqM
Sale Price
฿1,990,000
Request Details
Bedrooms
3
Bathrooms
2
Indoor Area
114 SqM
Storeys
1
Completed
Dec 2021
Price / SqM
฿17,456

3 Bedroom House for sale in Sao Hai, Saraburi

This property is a 114 SqM house with 3 bedrooms and 2 bathrooms that is available for sale. It is located in Roeng Rang, Saraburi and was completed in Dec 2021. You can buy this house for a base price of ฿1,990,000 (฿17,456/SqM).

Features

Private GardenPrivate Garden Covered ParkingCovered Parking

Basic Information

Date Listed Aug 9, 2021
Updated 2 years ago
Property Type House (Single Detached)
Storeys 1
Location Roeng Rang, Saraburi
Bedrooms 3
Nearest Landmark N/A
Indoor Area 114 SqM
Price per SqM ฿17,456
Outdoor Area
This is the combined size of the terrace, pool, parking area, and sala. It does not include the size of the garden.
N/A
Plot Size 200 SqM
Pets N/A
House Ownership

Foreign nationals can own the building (house) in their own name but not the land that it stands on.

Thai Ownership
Land Ownership

Foreign nationals cannot own land in Thailand. The options in which a foreigner can control the land are via a 30-year lease or by purchasing the land through a Thai company.

Thai Ownership
Land Title Deed N/A
Construction Completed (Dec 2021)
Furniture
Unfurnished
View(s) Garden View
Water Price Government Rate
Electricity Price Government Rate
Unit Type N/A
Parking Spots 2
Pool Size N/A
CAM Fee
The common area maintenance (CAM) fee has to be paid monthly by owners for the upkeep of the common areas of condominium and housing projects. For new build projects, it is common to pay between 1 - 3 years’ management fees in advance upon the transfer of the unit’s ownership.
N/A
Listed By
Developer
Unit ID U1019162

Price Analysis

Great Price
Estimated market value ฿3,357,801
Great
฿2,640,000
Good
Fair
Above
฿4,680,000
Current asking Price: ฿1,990,000
This house is ฿1,367,801 BELOW MARKET (-41%) in the Saraburi area. It is analyzed against similar houses and is based on previous transaction data, the current market situation, neighborhood details, and the specific details of this property.
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