Taman Industri Sb Jaya Sungai Buloh

Al-Faizin Mosque, Taman Desa Jaya Jaya, Kepong, Jalan Sg Buloh, Taman Desa Jaya, 52100 Kuala Lumpur, Selangor, Malaysia

Taman Industri Sb Jaya Sungai Buloh uses postcode 52100, shared with 66 other areas.

Property Transactions

3 subsales grouped by size

Median
RM18,500,000
PSF
RM207
Period
transactions middle 50% (P25–P75)
55,650 sqft
Factory
RM18,500,000
Jalan Kusta
55,670 sqft · RM332 PSF
84,400 sqft
Factory
RM17,500,000
Jalan Kusta
84,400 sqft · RM207 PSF
119,800 sqft
Factory
RM23,958,000
Jalan Kusta
119,790 sqft · RM200 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Industri Sb Jaya Sungai Buloh? Homes here sold for a median of RM18,500,000.

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Taman Industri Sb Jaya Sungai Buloh
© OpenStreetMap · CARTO

Al-Faizin Mosque, Taman Desa Jaya Jaya, Kepong, Jalan Sg Buloh, Taman Desa Jaya, 52100 Kuala Lumpur, Selangor, Malaysia

Maps

Taman Industri Sb Jaya Sungai Buloh in Gombak, Selangor recorded 3 subsale transactions between 2021 and 2026, with a median price of RM18.50 million and a median price per square foot (PSF) of RM207.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM18.50 million, with most transactions falling within a stable range of RM17.50 million to RM19.50 million, and a typical market range of RM17.50 million to RM20.11 million.

Most transactions involved detached factory/warehouse, with minimal variety in property types.

For price per square foot, the median is RM207, with most transactions between RM200 and RM214. The usual range is RM174.35 to RM240.35, showing that most units are priced quite close to each other. With an IQR of RM66.00 and MAD of RM7, the PSF demonstrates reasonable consistency across the market.

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.