Gardenia Court
Jalan SG 9/21, Taman Sri Gombak, 68100 Batu Caves, Selangor, Malaysia
Jalan SG 9/21, Taman Sri Gombak, 68100 Batu Caves, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM 278,000
|
RM 311
|
893 sqft
|
|
|
|
Level 7
|
RM 310,000
|
RM 347
|
893 sqft
|
|
|
|
Level 8
|
RM 284,000
|
RM 318
|
893 sqft
|
|
|
|
Level 2
|
RM 295,000
|
RM 330
|
893 sqft
|
|
|
|
Level 9
|
RM 300,000
|
RM 332
|
904 sqft
|
|
|
|
Level 4
|
RM 285,000
|
RM 319
|
893 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
Market Snapshot
ResidentialRM 290,000
RM 325 psfMedian transaction price
Jalan SG 9/21, Taman Sri Gombak, 68100 Batu Caves, Selangor, Malaysia
MapsGardenia Court in Gombak, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 290K and a median price per square foot (PSF) of RM 325.
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 279K to RM 301K, and a typical market range of RM 278K to RM 305K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 325, with most transactions between RM 313 and RM 336. The usual range is RM 309.85 to RM 339.35, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 29.50 and an average deviation (MAD) of RM 12 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.