Bandar Teknologi

Bandar Teknologi Kajang, 43500 Semenyih, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 295,000
PSF
RM 361
Price Size
800 sqft
Condo
RM 295,000
Level 9
818 sqft · RM 361 PSF
RM 350,000
Level 15
818 sqft · RM 428 PSF
RM 325,000
Level 5
818 sqft · RM 397 PSF
RM 259,000
Level 9
818 sqft · RM 317 PSF
RM 343,000
Level 14
818 sqft · RM 419 PSF
RM 249,000
Level 15
818 sqft · RM 304 PSF
RM 266,000
Level 12
818 sqft · RM 325 PSF
7
transactions

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Market Snapshot

RM 295,000

RM 361 psf

Median transaction price

RM 1,200,000

RM 530 psf

Median transaction price

Bandar Teknologi
© OpenStreetMap · CARTO

Bandar Teknologi Kajang, 43500 Semenyih, Selangor, Malaysia

Maps

Bandar Teknologi in Hulu Langat, Selangor recorded 7 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM 295K and a median price per square foot (PSF) of RM 361.

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 RM 295K, with most transactions falling within a stable range of RM 256K to RM 334K, and a typical market range of RM 249K to RM 350K.

Within the Condo/Apartment category, terraced factory/warehouse dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 361, with core pricing between RM 313 and RM 408. Market pricing typically extends from RM 223.11 to RM 498.11, reflecting moderate variation in unit pricing. With an IQR of RM 275.00 and MAD of RM 47, 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.