Bandar Teknologi

Bandar Teknologi Kajang, 43500 Semenyih, Selangor, Malaysia

Property Transactions

2 subsales found

Median
RM1,040,000
PSF
RM294
Price Size
Period
transactions middle 50% (P25–P75)
RM630,000
Jalan P2/4, Sek 2
3,541 sqft RM178 PSF
RM1,450,000
Jalan P2/8
3,541 sqft RM409 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Teknologi? Homes here sold for a median of RM1,040,000.

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Market Snapshot

RM385,000

RM297 psf

Median transaction price

RM1,040,000

RM294 psf

Median transaction price

Bandar Teknologi
© OpenStreetMap · CARTO

Bandar Teknologi Kajang, 43500 Semenyih, Selangor, Malaysia

Maps

Bandar Teknologi in Hulu Langat, Selangor recorded 2 subsale transactions between 2021 and 2026, sized between 3,525 and 3,574 sqft, with a median price of RM1.04 million and a median price per square foot (PSF) of RM294.

This area contains both residential and commercial properties. View 38 residential properties or 97 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.04 million, with most transactions falling within a stable range of RM630K to RM1.45 million, and a typical market range of RM640K to RM1.44 million.

Most transactions involved terraced factory/warehouse, with high diversity across multiple property types.

Price per square foot shows a median of RM294, though individual units vary from RM178 to RM409 in the core range. The broader market spans RM156.17 to RM431.17, indicating diverse property characteristics. A wider spread (IQR: RM275.00) and deviation (MAD: RM116) indicate significant PSF variations, likely due to diverse property types or conditions.

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.