| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Tiara 1
|
RM1,500,000
|
RM469
|
3,197 sqft
|
|
|
|
Jalan Tiara 1
|
RM1,500,000
|
RM469
|
3,197 sqft
|
|
|
|
Jalan Tiara 1
|
RM1,300,000
|
RM407
|
3,197 sqft
|
|
|
|
Jalan Tiara 1
|
RM950,000
|
RM297
|
3,197 sqft
|
|
|
Jalan Tiara 2
|
RM1,200,000
|
RM331
|
3,627 sqft
|
|
|
Jalan Tiara 2
|
RM1,250,000
|
RM281
|
4,456 sqft
|
|
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Tiara Residence
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 Kajang
Market Snapshot
ResidentialRM1,275,000
RM369 psfMedian transaction price
20, Jalan Jasmin 16/C, Taman Jasmin Ii, 43000 Kajang, Selangor, Malaysia
MapsTiara Residence in Hulu Langat, Selangor recorded 6 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM1.28 million and a median price per square foot (PSF) of RM369.
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 RM1.28 million, with most transactions falling within a stable range of RM1.09 million to RM1.46 million, and a typical market range of RM1.16 million to RM1.40 million.
Within the Bungalow category, 2 - 2 1/2 storey semi-detached dominated the market, with moderate diversity in property types available.
Price per square foot shows a median of RM369, though individual units vary from RM292 to RM446 in the core range. The broader market spans RM305.98 to RM431.48, indicating diverse property characteristics. The spread of RM125.50 (IQR) and deviation of RM77 (MAD) suggest moderate price variations reflecting different property features.
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.