New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM 260,000
|
RM 364
|
715 sqft
|
|
Flat |
|
Level 2
|
RM 150,000
|
RM 221
|
678 sqft
|
|
LC Flat |
|
Level 3
|
RM 140,000
|
RM 206
|
678 sqft
|
|
LC Flat |
|
Level 1
|
RM 240,000
|
RM 333
|
721 sqft
|
|
Flat |
|
Level 5
|
RM 160,000
|
RM 236
|
678 sqft
|
|
LC Flat |
|
Level 6
|
RM 145,000
|
RM 214
|
678 sqft
|
|
LC Flat |
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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 152,500
RM 225 psfMedian transaction price
68100 Selayang, Selangor, Malaysia
MapsSunway Batu Caves in Gombak, Selangor recorded 16 subsale transactions between 2021 and 2026, sized between 675 and 724 sqft, with a median price of RM 153K and a median price per square foot (PSF) of RM 225.
This area contains both residential and commercial properties. View 40 residential properties or 4 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 153K, with most transactions falling within a stable range of RM 123K to RM 190K, and a typical market range of RM 123K to RM 260K.
Most transactions involved flats, with high diversity across multiple property types.
Price per square foot shows a median of RM 225, though individual units vary from RM 177 to RM 273 in the core range. The broader market spans RM 92.26 to RM 357.51, indicating diverse property characteristics. The spread of RM 265.25 (IQR) and deviation of RM 48 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.