Saujana Subang

Saujana, 40150 Shah Alam, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM3,850,000
PSF
RM518
Price Size
Period
transactions middle 50% (P25–P75)
1,500 sqft
Condo
RM838,000
Level 8
1,518 sqft · RM552 PSF
4,900 sqft
Semi-D
RM3,080,000
Jalan U2/50
4,919 sqft · RM626 PSF
5,950 sqft
Semi-D
RM3,500,000
Jalan U2/50
5,968 sqft · RM587 PSF
9,650 sqft
Bungalow
RM4,200,000
Jalan Lakeview
9,634 sqft · RM436 PSF
10,350 sqft
Bungalow
RM5,000,000
Jalan Lakeview
10,355 sqft · RM483 PSF
13,750 sqft
Bungalow
RM5,400,000
Persiaran Golf 3
13,767 sqft · RM392 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM3,850,000

RM518 psf

Median transaction price

Saujana Subang
© OpenStreetMap · CARTO

Saujana, 40150 Shah Alam, Selangor, Malaysia

Maps

Saujana Subang in Petaling, Selangor recorded 6 subsale transactions in 2023, with a median price of RM3.85 million and a median price per square foot (PSF) of RM518.

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 RM3.85 million, with most transactions falling within a stable range of RM2.35 million to RM5.35 million, and a typical market range of RM2.98 million to RM4.72 million.

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

The median PSF stands at RM518, with core pricing between RM435 and RM600. Market pricing typically extends from RM392.39 to RM642.64, reflecting moderate variation in unit pricing. The spread of RM250.25 (IQR) and deviation of RM83 (MAD) suggest moderate price variations reflecting different property features.

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.