Permai Apartment
Tropicana, 47800 Petaling Jaya, Selangor, Malaysia
Tropicana, 47800 Petaling Jaya, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM 190,000
|
RM 252
|
753 sqft
|
|
Flat |
|
Level 10
|
RM 190,000
|
RM 252
|
753 sqft
|
|
Flat |
|
Level 6
|
RM 250,000
|
RM 332
|
753 sqft
|
|
Flat |
|
Level 1
|
RM 180,000
|
RM 239
|
753 sqft
|
|
Flat |
|
Level 5
|
RM 220,000
|
RM 292
|
753 sqft
|
|
Flat |
|
Level 10
|
RM 220,000
|
RM 292
|
753 sqft
|
|
Flat |
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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
ResidentialRM 210,000
RM 279 psfMedian transaction price
Permai Apartment, Tropicana, 47800 Petaling Jaya, Selangor, Malaysia
MapsPermai Apartment in Petaling, Selangor recorded 14 subsale transactions between 2021 and 2026, with a median price of RM 210K and a median price per square foot (PSF) of RM 279.
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 210K, with most transactions falling within a stable range of RM 192K to RM 228K, and a typical market range of RM 194K to RM 226K.
Most transactions involved flats, though some variety exists in the market.
For price per square foot, the median is RM 279, with most transactions between RM 254 and RM 303. The usual range is RM 255.21 to RM 302.21, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 47.00 and an average deviation (MAD) of RM 25 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.