New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM 140,000
|
RM 210
|
667 sqft
|
|
|
|
Level 3
|
RM 155,000
|
RM 232
|
667 sqft
|
|
|
|
Level 5
|
RM 130,000
|
RM 195
|
667 sqft
|
|
|
Jalan Angkasa Indah 1E
|
RM 715,000
|
RM 478
|
1,496 sqft
|
|
|
Jalan Angkasa Indah 3
|
RM 675,000
|
RM 424
|
1,593 sqft
|
|
|
|
Jalan Angkasa Indah 2A
|
RM 750,000
|
RM 471
|
1,593 sqft
|
|
|
Jalan Angkasa Indah 1
|
RM 1,050,000
|
RM 219
|
4,801 sqft
|
|
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 675,000
RM 221 psfMedian transaction price
Taman Angkasa Indah, 43000 Kajang, Selangor, Malaysia
MapsTaman Angkasa Indah in Hulu Langat, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 675K 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 675K, with most transactions falling within a stable range of RM 300K to RM 1.05 million, and a typical market range of RM 383K to RM 968K.
Most transactions involved low-cost flat, with moderate diversity in property types available.
For price per square foot, the median is RM 232, with most transactions between RM 221 and RM 243. The usual range is RM 218.51 to RM 246.01, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 27.50 and an average deviation (MAD) of RM 11 indicate a highly stable PSF trend across properties.
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.