Taman Bukit Jugra

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

Property Transactions

5 subsales grouped by size

Median
RM 340,000
PSF
RM 246
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
Terrace
RM 330,000
Jalan Bukit Jugra U17/28
1,076 sqft · RM 307 PSF
RM 340,000
Jalan U17/28
1,076 sqft · RM 316 PSF
1,300 sqft
Terrace
RM 320,000
Jalan U17/29
1,302 sqft · RM 246 PSF
1,550 sqft
Terrace
RM 365,000
Jalan U17/29
1,561 sqft · RM 234 PSF
1,600 sqft
Terrace
RM 355,000
Jalan U17/29
1,593 sqft · RM 223 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 340,000

RM 246 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 RM 340K and a median price per square foot (PSF) of RM 246.

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 RM 340K, with most transactions falling within a stable range of RM 324K to RM 356K, and a typical market range of RM 331K to RM 349K.

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 RM 246, with core pricing between RM 207 and RM 284. Market pricing typically extends from RM 207.69 to RM 283.69, reflecting moderate variation in unit pricing. The spread of RM 76.00 (IQR) and deviation of RM 39 (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.