Lbs Skylake Residence @ Puchong
Jalan Putra Perdana 5a, Taman Putra Perdana, 47130 Puchong, Selangor, Malaysia
Jalan Putra Perdana 5a, Taman Putra Perdana, 47130 Puchong, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 32
|
RM 491,000
|
RM 556
|
883 sqft
|
|
|
|
Level 33
|
RM 483,000
|
RM 547
|
883 sqft
|
|
|
|
Level 10
|
RM 243,000
|
RM 275
|
883 sqft
|
|
|
|
Level 30
|
RM 530,000
|
RM 600
|
883 sqft
|
|
|
|
Level 31
|
RM 498,000
|
RM 564
|
883 sqft
|
|
|
|
Level 32
|
RM 491,000
|
RM 556
|
883 sqft
|
|
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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
Jalan Putra Perdana 5a, Taman Putra Perdana, 47130 Puchong, Selangor, Malaysia
MapsLbs Skylake Residence @ Puchong in Sepang, Selangor recorded 12 subsale transactions in 2024, with a median price of RM 492K and a median price per square foot (PSF) of RM 557.
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 492K, with most transactions falling within a stable range of RM 396K to RM 530K, and a typical market range of RM 370K to RM 530K.
Most transactions involved serviced apartment, with minimal variety in property types.
The median PSF stands at RM 557, with core pricing between RM 470 and RM 643. Market pricing typically extends from RM 511.35 to RM 602.35, reflecting moderate variation in unit pricing. The spread of RM 91.00 (IQR) and deviation of RM 87 (MAD) suggest moderate price variations reflecting different property features.
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.