| Price | PSF | Size | Date | Type |
|---|
|
RM900,000
|
RM262
|
3,434 sqft
|
|
|
|
RM945,000
|
RM273
|
3,455 sqft
|
|
|
|
RM1,300,000
|
RM379
|
3,434 sqft
|
|
|
|
RM945,000
|
RM275
|
3,434 sqft
|
|
|
|
RM945,000
|
RM330
|
2,863 sqft
|
|
|
|
RM1,245,000
|
RM435
|
2,863 sqft
|
|
|
|
RM945,000
|
RM275
|
3,434 sqft
|
|
|
RM817,000
|
RM285
|
2,863 sqft
|
|
|
|
RM817,000
|
RM236
|
3,455 sqft
|
|
|
|
RM1,099,000
|
RM399
|
2,756 sqft
|
|
Selling in Greenwoods Belian, Salak Perdana? Homes here sold for a median of RM945,000.
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Greenwoods Belian, Salak Perdana
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Dengkil
Market Snapshot
CommercialRM945,000
RM632 psfMedian transaction price
34, Jalan Gemilang 1, 43900 Sepang, Selangor, Malaysia
MapsGreenwoods Belian, Salak Perdana in Sepang, Selangor recorded 10 subsale transactions between 2021 and 2026, with a median price of RM945K and a median price per square foot (PSF) of RM285.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM945K, with most transactions falling within a stable range of RM859K to RM1.03 million, and a typical market range of RM870K to RM1.02 million.
Most transactions involved 2 - 2 1/2 storey shop, with minimal variety in property types.
For price per square foot, the median is RM285, with most transactions between RM280 and RM290. The usual range is RM282.85 to RM287.85, showing that most units are priced quite close to each other. A typical spread (IQR) of RM5.00 and an average deviation (MAD) of RM5 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.