New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan K2 Villas S1/5
|
RM 670,000
|
RM 364
|
1,841 sqft
|
|
|
|
Jalan K2 Villas S1/1
|
RM 665,000
|
RM 361
|
1,841 sqft
|
|
|
|
Jalan K2 Villas S1/1
|
RM 660,000
|
RM 359
|
1,841 sqft
|
|
|
|
Jalan K2 Villas S1/2
|
RM 750,000
|
RM 407
|
1,841 sqft
|
|
|
|
Jalan K2 Villas S1/1
|
RM 1,070,000
|
RM 581
|
1,841 sqft
|
|
|
|
Jalan K2 Villas S1/2
|
RM 620,000
|
RM 337
|
1,841 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 667,500
RM 363 psfMedian transaction price
Kajang 2, 43500 Kajang, Selangor, Malaysia
MapsKajang 2 in Hulu Langat, Selangor recorded 10 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM 668K and a median price per square foot (PSF) of RM 363.
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 668K, with most transactions falling within a stable range of RM 620K to RM 793K, and a typical market range of RM 620K to RM 949K.
Within the Double Storey Terraced category, 1 - 1 1/2 storey terraced1 - 1 dominated the market, though some variety exists in the market.
The median PSF stands at RM 363, with core pricing between RM 294 and RM 431. Market pricing typically extends from RM 340.90 to RM 384.40, reflecting moderate variation in unit pricing. The spread of RM 43.50 (IQR) and deviation of RM 68 (MAD) suggest moderate price variations reflecting different property features.
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.