Taman Gombak Permai
68100 Batu Caves, Selangor, Malaysia
68100 Batu Caves, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 10
|
RM 140,000
|
RM 213
|
657 sqft
|
|
|
|
Level 1
|
RM 150,000
|
RM 228
|
657 sqft
|
|
|
|
Level 9
|
RM 140,000
|
RM 213
|
657 sqft
|
|
|
|
Level 10
|
RM 140,000
|
RM 213
|
657 sqft
|
|
|
|
Level 4
|
RM 185,000
|
RM 282
|
657 sqft
|
|
|
|
Level 11
|
RM 150,000
|
RM 228
|
657 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 147,500
RM 223 psfMedian transaction price
Taman Gombak Permai, 68100 Batu Caves, Selangor, Malaysia
MapsTaman Gombak Permai in Gombak, Selangor recorded 14 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 148K and a median price per square foot (PSF) of RM 223.
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 148K, with most transactions falling within a stable range of RM 129K to RM 166K, and a typical market range of RM 95K to RM 185K.
Within the Low-Cost Flat category, low-cost flat dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM 223, with most transactions between RM 201 and RM 245. The usual range is RM 111.80 to RM 333.80, showing that most units are priced quite close to each other. With an IQR of RM 222.00 and MAD of RM 22, the PSF demonstrates reasonable consistency across the market.
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.