Pangsapuri Perdana-Sek 13 Shah Alam
Jalan Lompat Pagar 13/37, Seksyen 13, 40100 Shah Alam, Selangor, Malaysia
Jalan Lompat Pagar 13/37, Seksyen 13, 40100 Shah Alam, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM 290,000
|
RM 341
|
850 sqft
|
|
|
|
Level 4
|
RM 300,000
|
RM 353
|
850 sqft
|
|
|
|
Level 2
|
RM 320,000
|
RM 377
|
850 sqft
|
|
|
|
Level 8
|
RM 340,000
|
RM 400
|
850 sqft
|
|
|
|
Level 1
|
RM 300,000
|
RM 353
|
850 sqft
|
|
|
|
Level 4
|
RM 230,000
|
RM 271
|
850 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 290,000
RM 341 psfMedian transaction price
Jalan Lompat Pagar 13/37, Seksyen 13, 40100 Shah Alam, Selangor, Malaysia
MapsPangsapuri Perdana-Sek 13 Shah Alam in Petaling, Selangor recorded 13 subsale transactions in 2021, with a median price of RM 290K and a median price per square foot (PSF) of RM 341.
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 290K, with most transactions falling within a stable range of RM 257K to RM 323K, and a typical market range of RM 255K to RM 325K.
Most transactions involved condominium/apartment, with minimal variety in property types.
The median PSF stands at RM 341, with core pricing between RM 303 and RM 380. Market pricing typically extends from RM 299.71 to RM 382.71, reflecting moderate variation in unit pricing. With an IQR of RM 83.00 and MAD of RM 38, the PSF demonstrates reasonable consistency across the market.
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.