| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Ju 14
|
RM390,000
|
RM355
|
1,098 sqft
|
|
|
|
Jalan Ju 14
|
RM310,000
|
RM282
|
1,098 sqft
|
|
|
|
Jalan Ju 12
|
RM450,000
|
RM410
|
1,098 sqft
|
|
|
|
Jalan Ju 8
|
RM300,000
|
RM273
|
1,098 sqft
|
|
|
|
Jalan Ju 12
|
RM250,000
|
RM228
|
1,098 sqft
|
|
|
Jalan Ju 5/1
|
RM418,000
|
RM350
|
1,195 sqft
|
|
|
Jalan Ju 10
|
RM370,000
|
RM279
|
1,324 sqft
|
|
Selling in Taman Jasa Utama? Homes here sold for a median of RM370,000.
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Taman Jasa Utama
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 Selayang
Market Snapshot
ResidentialRM370,000
RM282 psfMedian transaction price
68100 Selayang, Selangor, Malaysia
MapsTaman Jasa Utama in Gombak, Selangor recorded 7 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM370K and a median price per square foot (PSF) of RM282.
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 RM370K, with most transactions falling within a stable range of RM304K to RM436K, and a typical market range of RM342K to RM398K.
Within the Low-Cost House category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.
Price per square foot shows a median of RM282, though individual units vary from RM225 to RM340 in the core range. The broader market spans RM264.23 to RM300.48, indicating diverse property characteristics. The spread of RM36.25 (IQR) and deviation of RM58 (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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.