Rumah Pangsa Taman Suria Pendamar
Taman Suria Pendamar, 42000 Pelabuhan Klang, Selangor, Malaysia
Taman Suria Pendamar, 42000 Pelabuhan Klang, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM 170,000
|
RM 255
|
667 sqft
|
|
|
|
Level G
|
RM 160,000
|
RM 240
|
667 sqft
|
|
|
|
Level 2
|
RM 103,000
|
RM 154
|
667 sqft
|
|
|
|
Level 3
|
RM 101,000
|
RM 151
|
667 sqft
|
|
|
|
Level 4
|
RM 160,000
|
RM 240
|
667 sqft
|
|
|
|
Level 2
|
RM 155,000
|
RM 232
|
667 sqft
|
|
|
|
Level 4
|
RM 120,000
|
RM 180
|
667 sqft
|
|
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New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM 155,000
RM 232 psfMedian transaction price
Taman Suria Pendamar, 42000 Pelabuhan Klang, Selangor, Malaysia
MapsRumah Pangsa Taman Suria Pendamar in Klang, Selangor recorded 7 subsale transactions in 2022, with a median price of RM 155K and a median price per square foot (PSF) of RM 232.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 155K, with most transactions falling within a stable range of RM 128K to RM 170K, and a typical market range of RM 134K to RM 170K.
Most transactions involved low-cost flat, with minimal variety in property types.
The median PSF stands at RM 232, with core pricing between RM 191 and RM 273. Market pricing typically extends from RM 200.26 to RM 264.26, reflecting moderate variation in unit pricing. The spread of RM 64.00 (IQR) and deviation of RM 41 (MAD) suggest moderate price variations reflecting different property features.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.