New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 7
|
RM 497,000
|
RM 570
|
872 sqft
|
|
|
|
Level 9
|
RM 490,000
|
RM 562
|
872 sqft
|
|
|
|
Level 14
|
RM 535,000
|
RM 614
|
872 sqft
|
|
|
|
Level 7
|
RM 585,000
|
RM 684
|
855 sqft
|
|
|
|
Level 14
|
RM 530,000
|
RM 620
|
855 sqft
|
|
|
|
Level 14
|
RM 530,000
|
RM 620
|
855 sqft
|
|
|
Level 11
|
RM 578,000
|
RM 649
|
890 sqft
|
|
|
|
Level 13A
|
RM 500,000
|
RM 562
|
890 sqft
|
|
|
Level 15
|
RM 810,000
|
RM 617
|
1,312 sqft
|
|
|
Level 13
|
RM 911,000
|
RM 683
|
1,335 sqft
|
|
|
Level 8
|
RM 499,000
|
RM 352
|
1,419 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
G-19 & G- 20, Nova Saujana, Jalan Lapangan Terbang, Subang, Saujana, 40150 Shah Alam, Selangor, Malaysia
MapsNova Saujana in Petaling, Selangor recorded 16 subsale transactions between 2021 and 2026, with a median price of RM 515K and a median price per square foot (PSF) of RM 599.
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 515K, with most transactions falling within a stable range of RM 464K to RM 637K, and a typical market range of RM 469K to RM 561K.
Most transactions involved serviced apartment, with minimal variety in property types.
The median PSF stands at RM 599, with core pricing between RM 514 and RM 684. Market pricing typically extends from RM 546.96 to RM 651.46, reflecting moderate variation in unit pricing. With an IQR of RM 104.50 and MAD of RM 85, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.