Bang Talat, Pak Kret, Nonthaburi
  • Unit ID: U72580
  • 2 Beds 2 Baths 61 SqM
5% Rental Yield
Sale Price
฿4,200,000 ฿5,500,000
Request Details
Bedrooms
2
Bathrooms
2
Indoor Area
61 SqM
Construction
Completed
Price / SqM
฿68,852

2 Bedroom Condo for sale in Pak Kret, Nonthaburi

This property is a 61 SqM condo with 2 bedrooms and 2 bathrooms that is available for sale. It is located in Bang Talat, Nonthaburi. You can buy this condo for a base price of ฿4,200,000 (฿68,852/SqM) and it is also available for long term rentals starting from ฿18,000 per month.

Basic Information

Date Listed Oct 9, 2019
Updated 2 months ago
Property Type Condo
Floor N/A
Bedrooms 2
Size 61 SqM
Price per SqM ฿68,852
Pets Not Allowed
Condo Ownership

Foreign nationals can own condominium units as freehold owners in buildings where no more than 49% of the unit floor space is owned by foreigners. Units that are part of the Thai quota or are being leased for 30 years can be converted to the foreign freehold quota if it is currently below 49%.

Foreign Quota
Furniture
A fully-furnished property is one which is equipped with all required items of a household. From sofa to table lamp, from bed to a dresser and even electronic appliances, utensils and glassware in the kitchen – a fully-furnished property has everything required in your day-to-day life.
Fully Furnished
View(s) City View, Blocked View
Water Price Government Rate
Electricity Price Government Rate
Unit Type N/A
Building 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
Private Owner
Unit ID U72580

Price Analysis

Great Price
Estimated market value ฿4,969,684
Great
฿3,030,000
Good
Fair
Above
฿4,990,000
Current asking Price: ฿4,200,000 | Advertised rental rate: ฿18,000/mo
This condo is ฿769,684 BELOW MARKET (-15%) in the Nonthaburi area. It is analyzed against similar condos and is based on previous transaction data, the current market situation, neighborhood details, and the specific details of this property.
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