Taman Medan Cahaya
Blok E, Taman Medan Cahaya, Jalan PJS 2c/2d, Taman Dato Harun, 46000 Petaling Jaya, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 9
|
RM 190,000
|
RM 285
|
667 sqft
|
|
|
|
Level 4
|
RM 195,000
|
RM 302
|
646 sqft
|
|
|
|
Level 7
|
RM 185,000
|
RM 286
|
646 sqft
|
|
|
|
Level 5
|
RM 180,000
|
RM 270
|
667 sqft
|
|
|
|
Level 7
|
RM 172,000
|
RM 258
|
667 sqft
|
|
|
|
Level 3
|
RM 200,000
|
RM 300
|
667 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 180,000
RM 270 psfMedian transaction price
Blok E, Taman Medan Cahaya, Jalan PJS 2c/2d, Taman Dato Harun, 46000 Petaling Jaya, Selangor, Malaysia
MapsTaman Medan Cahaya in Petaling, Selangor recorded 9 subsale transactions in 2022, with a median price of RM 180K and a median price per square foot (PSF) of RM 270.
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 180K, with most transactions falling within a stable range of RM 162K to RM 198K, and a typical market range of RM 171K to RM 189K.
Most transactions involved low-cost flat, with minimal variety in property types.
For price per square foot, the median is RM 270, with most transactions between RM 244 and RM 295. The usual range is RM 254.72 to RM 284.72, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 30.00 and an average deviation (MAD) of RM 26 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.