| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM135,000
|
RM177
|
764 sqft
|
|
|
|
Level 1
|
RM150,000
|
RM196
|
764 sqft
|
|
|
|
Level 1
|
RM140,000
|
RM183
|
764 sqft
|
|
|
|
Level 1
|
RM155,000
|
RM203
|
764 sqft
|
|
|
|
Level 1
|
RM145,000
|
RM190
|
764 sqft
|
|
|
|
Level 1
|
RM150,000
|
RM196
|
764 sqft
|
|
|
Level 1
|
RM300,000
|
RM179
|
1,679 sqft
|
|
|
|
Level 1
|
RM290,000
|
RM173
|
1,679 sqft
|
|
|
|
Level 1
|
RM300,000
|
RM179
|
1,679 sqft
|
|
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Bandar Teknologi
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 Bandar Semenyih
Market Snapshot
CommercialRM150,000
RM181 psfMedian transaction price
Taman Semenyih Sentral, 43500 Semenyih, Selangor, Malaysia
MapsTaman Semenyih Sentral in Hulu Langat, Selangor recorded 10 Office Lot properties subsale transactions between 2021 and 2026, with a median price of RM150K and a median price per square foot (PSF) of RM181.
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 RM150K, with most transactions falling within a stable range of RM120K to RM221K, and a typical market range of RM120K to RM300K.
Within the Office Lot category, office lot dominated the market, with moderate diversity in property types available.
For price per square foot, the median is RM181, with most transactions between RM164 and RM198. The usual range is RM22.29 to RM339.54, showing that most units are priced quite close to each other. With an IQR of RM317.25 and MAD of RM17, 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.