Taman Bkt Permai (Cheras)

Taman Bukit Permai, 43200 Kajang, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM1,650,000
PSF
RM274
Price Size
Period
transactions middle 50% (P25–P75)
5,000 sqft
Bungalow
RM1,300,000
Jalan Bkt Permai 1
4,994 sqft · RM260 PSF
5,750 sqft
Bungalow
RM1,650,000
Jalan Bkt Permai 1
5,769 sqft · RM286 PSF
6,400 sqft
Bungalow
RM1,750,000
Jalan Bkt Permai
6,383 sqft · RM274 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Bkt Permai (Cheras)? Homes here sold for a median of RM1,650,000.

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Market Snapshot

Residential

RM1,650,000

RM274 psf

Median transaction price

Taman Bkt Permai (Cheras)
© OpenStreetMap · CARTO

Taman Bukit Permai, 43200 Kajang, Selangor, Malaysia

Maps

Taman Bkt Permai (Cheras) in Hulu Langat, Selangor recorded 3 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM1.65 million and a median price per square foot (PSF) of RM274.

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 RM1.65 million, with most transactions falling within a stable range of RM1.46 million to RM1.75 million, and a typical market range of RM1.30 million to RM1.75 million.

Within the Bungalow category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM274, with most transactions between RM264 and RM285. The usual range is RM196.67 to RM351.67, showing that most units are priced quite close to each other. With an IQR of RM155.00 and MAD of RM11, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.