Bandar Sultan Suleiman

42000 Port Klang, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

9 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
RM185,000
Level 1
764 sqft · RM242 PSF
RM150,000
Level 3
764 sqft · RM196 PSF
RM160,000
Level 1
764 sqft · RM209 PSF
RM150,000
Level G
764 sqft · RM196 PSF
RM120,000
Level 1
764 sqft · RM157 PSF
RM140,000
Level 1
764 sqft · RM183 PSF
+3 more
Legend Recent Highest Price Highest PSF

Selling in Bandar Sultan Suleiman? Homes here sold for a median of RM150,000.

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Market Snapshot

RM150,000

RM196 psf

Median transaction price

RM730,000

RM344 psf

Median transaction price

Average

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Bandar Sultan Suleiman
© OpenStreetMap · CARTO

Bandar Sultan Suleiman, 42000 Port Klang, Selangor, Malaysia

Maps

Bandar Sultan Suleiman in Klang, Selangor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM150K and a median price per square foot (PSF) of RM196.

This area contains both residential and commercial properties. View 60 residential properties or 9 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM150K, with most transactions falling within a stable range of RM128K to RM172K, and a typical market range of RM130K to RM170K.

Most transactions involved condominium/apartment, with high diversity across multiple property types.

The median PSF stands at RM196, with core pricing between RM167 and RM225. Market pricing typically extends from RM170.27 to RM222.27, reflecting moderate variation in unit pricing. With an IQR of RM52.00 and MAD of RM29, 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.