New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Kp 3/3
|
RM 373,000
|
RM 286
|
1,302 sqft
|
|
|
|
Jalan Kp 3/2
|
RM 415,000
|
RM 319
|
1,302 sqft
|
|
|
|
Jalan Kp 3/3
|
RM 390,000
|
RM 299
|
1,302 sqft
|
|
|
Jalan K/P 3/3
|
RM 490,000
|
RM 361
|
1,356 sqft
|
|
|
Jalan Kp 1/8
|
RM 2,720,000
|
RM 454
|
5,996 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
RM 390,000
RM 299 psfMedian transaction price
RM 2,720,000
RM 454 psfMedian transaction price
Kajang Prima, Taman Kajang Prima, 43000 Kajang, Selangor, Malaysia
MapsKajang Prima in Hulu Langat, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 403K and a median price per square foot (PSF) of RM 309.
This area contains both residential and commercial properties. View 78 residential properties or 12 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 403K, with most transactions falling within a stable range of RM 120K to RM 1.29 million, and a typical market range of RM 201K to RM 604K.
Most transactions involved low-cost flat, with high diversity across multiple property types.
Price per square foot shows a median of RM 309, though individual units vary from RM 228 to RM 390 in the core range. The broader market spans RM 241.47 to RM 376.97, indicating diverse property characteristics. A wider spread (IQR: RM 135.50) and deviation (MAD: RM 81) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.