New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Ladang 1A/Ks1
|
RM1,780,000
|
RM2,738
|
650 sqft
|
|
|
Lorong Ladang 1B/Ks1
|
RM2,600,000
|
RM465
|
5,597 sqft
|
|
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Taman Selatan
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Kelang
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM2,190,000
RM1,601 psfMedian transaction price
Taman Selatan, 41200 Klang, Selangor, Malaysia
MapsTaman Selatan in Klang, Selangor recorded 2 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM2.19 million and a median price per square foot (PSF) of RM1,601.
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 RM2.19 million, with most transactions falling within a stable range of RM1.78 million to RM2.60 million, and a typical market range of RM1.78 million to RM2.60 million.
Within the Bungalow category, low-cost house2 - 2 1/2 s dominated the market, though some variety exists in the market.
Price per square foot shows a median of RM1,601, though individual units vary from RM465 to RM2,738 in the core range. The broader market spans RM1,518.68 to RM1,684.18, indicating diverse property characteristics. A wider spread (IQR: RM165.50) and deviation (MAD: RM1,137) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.