Taman Bukit Jugra

30, Jln Bukit Jugra U17/29, Sri Adjua, 47000 Shah Alam, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
Terrace
RM330,000
Jalan Bukit Jugra U17/28
1,076 sqft · RM307 PSF
RM340,000
Jalan U17/28
1,076 sqft · RM316 PSF
1,300 sqft
Terrace
RM320,000
Jalan U17/29
1,302 sqft · RM246 PSF
1,550 sqft
Terrace
RM365,000
Jalan U17/29
1,561 sqft · RM234 PSF
1,600 sqft
Terrace
RM355,000
Jalan U17/29
1,593 sqft · RM223 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Bukit Jugra? Homes here sold for a median of RM340,000.

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Market Snapshot

Residential

RM340,000

RM246 psf

Median transaction price

Taman Bukit Jugra
© OpenStreetMap · CARTO

30, Jln Bukit Jugra U17/29, Sri Adjua, 47000 Shah Alam, Selangor, Malaysia

Maps

Taman Bukit Jugra in Petaling, Selangor recorded 5 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM340K and a median price per square foot (PSF) of RM246.

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 RM340K, with most transactions falling within a stable range of RM324K to RM356K, and a typical market range of RM331K to RM349K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.

The median PSF stands at RM246, with core pricing between RM207 and RM284. Market pricing typically extends from RM207.69 to RM283.69, reflecting moderate variation in unit pricing. The spread of RM76.00 (IQR) and deviation of RM39 (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.