Bandar Teknologi Kajang

43500 Semenyih, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Period
transactions middle 50% (P25–P75)
RM390,000
Jalan 3/5
1,300 sqft · RM300 PSF
RM390,000
Jalan 1/17
1,324 sqft · RM295 PSF
RM480,000
Jalan 3/19
1,324 sqft · RM363 PSF
RM450,000
Jalan 1/13
1,324 sqft · RM340 PSF
RM370,000
Jalan 3/3, Bandar Teknologi
1,300 sqft · RM285 PSF
1,400 sqft
Terrace
RM380,000
Jalan 3/16
1,400 sqft · RM271 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM390,000

RM293 psf

Median transaction price

Average

Does BANDAR TEKNOLOGI KAJANG rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Bandar Teknologi Kajang
© OpenStreetMap · CARTO

Bandar Teknologi Kajang, 43500 Semenyih, Selangor, Malaysia

Maps

Bandar Teknologi Kajang in Hulu Langat, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM390K and a median price per square foot (PSF) of RM300.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM390K, with most transactions falling within a stable range of RM375K to RM405K, and a typical market range of RM370K to RM416K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM300, with most transactions between RM283 and RM318. The usual range is RM282.38 to RM317.63, showing that most units are priced quite close to each other. A typical spread (IQR) of RM35.25 and an average deviation (MAD) of RM18 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.