Bandar Bukit Tinggi

Port Klang, Selangor, Malaysia

Property Transactions

6 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM930,000
Lorong Batu Nilam 23B
2,164 sqft RM430 PSF
RM1,050,000
Jalan Batu Nilam 23 / Ph 2C2 /
2,164 sqft RM485 PSF
RM1,100,000
Jalan Batu Nilam 23
2,164 sqft RM508 PSF
RM800,000
Jalan Batu Nilam 31
2,153 sqft RM372 PSF
RM900,000
Lorong Batu Nilam 23B
2,164 sqft RM416 PSF
RM880,000
Lorong Batu Nilam 23A
2,164 sqft RM407 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM915,000

RM423 psf

Median transaction price

RM900,000

RM529 psf

Median transaction price

High

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Bandar Bukit Tinggi
© OpenStreetMap · CARTO

Bandar Bukit Tinggi, Port Klang, Selangor, Malaysia

Maps

Bandar Bukit Tinggi in Klang, Selangor recorded 6 subsale transactions between 2021 and 2026, sized between 2,125 and 2,174 sqft, with a median price of RM915K and a median price per square foot (PSF) of RM423.

This area contains both residential and commercial properties. View 200 residential properties or 29 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM915K, with most transactions falling within a stable range of RM813K to RM1.02 million, and a typical market range of RM800K to RM1.09 million.

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

The median PSF stands at RM423, with core pricing between RM376 and RM470. Market pricing typically extends from RM352.92 to RM492.92, reflecting moderate variation in unit pricing. With an IQR of RM140.00 and MAD of RM47, 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.