Emerald Service Apartment
Damansara Perdana, 47820 Petaling Jaya, Selangor, Malaysia
Damansara Perdana, 47820 Petaling Jaya, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2023 | |||||
|
Level 3A
|
RM 568,000
|
RM 430
|
1,321 sqft
|
|
Serviced Apt |
|
Level 5
|
RM 478,000
|
RM 509
|
939 sqft
|
|
Serviced Apt |
|
Level 21
|
RM 525,000
|
RM 537
|
978 sqft
|
|
Serviced Apt |
|
Level 9
|
RM 525,000
|
RM 471
|
1,114 sqft
|
|
Serviced Apt |
|
Level 6
|
RM 540,000
|
RM 537
|
1,005 sqft
|
|
Serviced Apt |
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 525,000
RM 509 psfMedian transaction price
Damansara Perdana, 47820 Petaling Jaya, Selangor, Malaysia
MapsEmerald Service Apartment in Petaling, Selangor recorded 5 subsale transactions in 2023, with a median price of RM 525K and a median price per square foot (PSF) of RM 509.
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 525K, with most transactions falling within a stable range of RM 496K to RM 554K, and a typical market range of RM 487K to RM 563K.
Most transactions involved serviced apartment, with minimal variety in property types.
For price per square foot, the median is RM 509, with most transactions between RM 468 and RM 551. The usual range is RM 475.08 to RM 543.33, showing that most units are priced quite close to each other. With an IQR of RM 68.25 and MAD of RM 41, 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.