New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Angkasa Indah 1E
|
RM715,000
|
RM478
|
1,496 sqft
|
|
|
Jalan Angkasa Indah 3
|
RM675,000
|
RM424
|
1,593 sqft
|
|
|
|
Jalan Angkasa Indah 2A
|
RM750,000
|
RM471
|
1,593 sqft
|
|
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Taman Angkasa Indah
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 Kajang
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
ResidentialRM715,000
RM471 psfMedian transaction price
Taman Angkasa Indah, 43000 Kajang, Selangor, Malaysia
MapsTaman Angkasa Indah in Hulu Langat, Selangor recorded 3 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM715K and a median price per square foot (PSF) of RM471.
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 RM715K, with most transactions falling within a stable range of RM684K to RM746K, and a typical market range of RM675K to RM750K.
Within the Double Storey Terraced category, low-cost flat dominated the market, with moderate diversity in property types available.
For price per square foot, the median is RM471, with most transactions between RM447 and RM495. The usual range is RM457.04 to RM484.54, showing that most units are priced quite close to each other. A typical spread (IQR) of RM27.50 and an average deviation (MAD) of RM24 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.