Seksyen 9

5, Jalan BS 9/7B, Taman Bukit Serdang, 43300 Seri Kembangan, Selangor, Malaysia

Property Transactions

7 subsales grouped by road

Median
RM 1,455,000
PSF
RM 469
Period
transactions middle 50% (P25–P75)
RM 2,000,000
5,511 sqft
RM 363 PSF · Bungalow
RM 1,600,000
3,315 sqft
RM 483 PSF · Semi-D
RM 1,560,000
3,326 sqft
RM 469 PSF · Semi-D
RM 1,600,000
3,305 sqft
RM 484 PSF · Semi-D
RM 1,350,000
3,143 sqft
RM 430 PSF · Semi-D
RM 875,000
2,099 sqft
RM 417 PSF
RM 900,000
2,368 sqft
RM 380 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,455,000

RM 478 psf

Median transaction price

Taman Bukit Serdang , Sek. 9
© OpenStreetMap · CARTO

Seksyen 9, 5, Jalan BS 9/7B, Taman Bukit Serdang, 43300 Seri Kembangan, Selangor, Malaysia

Maps

Seksyen 9 in Petaling, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 1.46 million and a median price per square foot (PSF) of RM 469.

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 1.46 million, with most transactions falling within a stable range of RM 1.11 million to RM 1.80 million, and a typical market range of RM 1.10 million to RM 1.81 million.

Most transactions involved 2 - 2 1/2 storey semi-detached, with high diversity across multiple property types.

For price per square foot, the median is RM 469, with most transactions between RM 441 and RM 498. The usual range is RM 450.15 to RM 487.90, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 37.75 and an average deviation (MAD) of RM 29 indicate a highly stable PSF trend across properties.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.