Taman Sri Gombak

Batu Caves, Selangor, Malaysia

Property Transactions

8 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM400,000
Jalan Sungai 10/2
958 sqft RM418 PSF
RM480,000
Jalan Sungai 10/2
958 sqft RM501 PSF
RM398,000
Jalan Sungai 9/2
936 sqft RM425 PSF
RM420,000
Jalan Sungai 9/29
926 sqft RM454 PSF
RM380,000
Jalan Sungai 10/2
969 sqft RM392 PSF
RM420,000
Jalan Sungai 1/27
969 sqft RM434 PSF
RM400,000
Jalan Sg9/15
969 sqft RM413 PSF
RM420,000
Jalan Sungai 10/10
936 sqft RM448 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM410,000

RM429 psf

Median transaction price

RM1,800,000

RM1,286 psf

Median transaction price

Average

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Taman Sri Gombak, Batu Caves, Selangor, Malaysia

Maps

Taman Sri Gombak in Gombak, Selangor recorded 8 subsale transactions between 2021 and 2026, sized between 925 and 974 sqft, with a median price of RM410K and a median price per square foot (PSF) of RM429.

This area contains both residential and commercial properties. View 203 residential properties or 29 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM410K, with most transactions falling within a stable range of RM382K to RM438K, and a typical market range of RM380K to RM480K.

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

For price per square foot, the median is RM429, with most transactions between RM398 and RM460. The usual range is RM371.28 to RM487.28, showing that most units are priced quite close to each other. With an IQR of RM116.00 and MAD of RM31, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.