| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Bunga Pakma 1
|
RM1,000,000
|
RM225
|
4,445 sqft
|
|
|
|
Jalan Bunga Pakma 1
|
RM1,200,000
|
RM270
|
4,445 sqft
|
|
|
|
Jalan Bunga Pakma 1
|
RM1,000,000
|
RM225
|
4,445 sqft
|
|
|
|
Jalan Bunga Pakma 1
|
RM1,082,000
|
RM243
|
4,445 sqft
|
|
|
|
Jalan Bunga Pakma 1
|
RM1,200,000
|
RM270
|
4,445 sqft
|
|
|
|
Jalan Bunga Pakma 1
|
RM1,100,000
|
RM247
|
4,445 sqft
|
|
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88 Corporate Industrial Park
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 Serendah
Market Snapshot
CommercialRM1,091,000
RM709 psfMedian transaction price
No.1, Jalan Bunga Pakma 1 Seksyen BB23, Bandar Bukit Beruntung, 48300 Rawang, Selangor, Malaysia
Maps88 Corporate Industrial Park in Hulu Selangor, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM1.09 million and a median price per square foot (PSF) of RM247.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.09 million, with most transactions falling within a stable range of RM1.00 million to RM1.18 million, and a typical market range of RM1.01 million to RM1.17 million.
Most transactions involved 3 - 3 1/2 storey shop, with minimal variety in property types.
Price per square foot shows a median of RM247, though individual units vary from RM188 to RM306 in the core range. The broader market spans RM197.19 to RM297.69, indicating diverse property characteristics. The spread of RM100.50 (IQR) and deviation of RM59 (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.