Taman Dahlia
Bandar Baru Salak Tinggi, 43900 Sepang, Selangor, Malaysia
Bandar Baru Salak Tinggi, 43900 Sepang, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Dahlia 4/5
|
RM 240,000
|
RM 90
|
2,659 sqft
|
|
|
|
Jalan Dahlia 4/5
|
RM 240,000
|
RM 90
|
2,659 sqft
|
|
|
|
Jalan Dahlia 4/5
|
RM 250,000
|
RM 94
|
2,659 sqft
|
|
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Property News
More property news →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 280,000
RM 310 psfMedian transaction price
Taman Dahlia, Bandar Baru Salak Tinggi, 43900 Sepang, Selangor, Malaysia
MapsTaman Dahlia in Sepang, Selangor recorded 3 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM 240K and a median price per square foot (PSF) of RM 90.
This area contains both residential and commercial properties. View 83 residential properties or 6 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 240K, with most transactions falling within a stable range of RM 240K to RM 245K, and a typical market range of RM 240K to RM 250K.
Within the Double Storey Shop category, flats dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM 90, with most transactions between RM 89 and RM 92. The usual range is RM 27.27 to RM 153.27, showing that most units are priced quite close to each other. With an IQR of RM 126.00 and MAD of RM 2, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.