New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM320,000
|
RM323
|
990 sqft
|
|
|
|
Level 3
|
RM360,000
|
RM361
|
997 sqft
|
|
New Launches in Selangor
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Taman Cahaya 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 Ampang
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
ResidentialRM340,000
RM323 psfMedian transaction price
Taman Cahaya Indah, 68000 Ampang, Selangor, Malaysia
MapsTaman Cahaya Indah in Hulu Langat, Selangor recorded 3 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM340K and a median price per square foot (PSF) of RM323.
This area contains both residential and commercial properties. View 11 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM340K, with most transactions falling within a stable range of RM324K to RM356K, and a typical market range of RM320K to RM360K.
Within the Condo/Apartment category, low-cost flat dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM323, with most transactions between RM303 and RM343. The usual range is RM272.02 to RM374.27, showing that most units are priced quite close to each other. With an IQR of RM102.25 and MAD of RM20, the PSF demonstrates reasonable consistency across the market.
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.