Taman Kembara

42000 Klang, Selangor, Malaysia

Property Transactions

10 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM450,000
Jalan Sungai Daun 17C/Ku4
1,281 sqft RM351 PSF
RM420,000
Jalan 18A/Ku11
1,281 sqft RM328 PSF
RM420,000
Jalan 18A/Ku11
1,281 sqft RM328 PSF
RM420,000
Jalan 18A/Ku11
1,281 sqft RM328 PSF
RM420,000
Jalan 18A/Ku11
1,281 sqft RM328 PSF
RM420,000
Jalan 18A/Ku11
1,281 sqft RM328 PSF
RM420,000
Jalan 17C/Ku4
1,281 sqft RM328 PSF
RM420,000
Jalan 18A/Ku11
1,281 sqft RM328 PSF
RM400,000
Jalan Genting 5/Ku4
1,302 sqft RM307 PSF
RM390,000
Jalan Haji Othman 11D/Ku4
1,324 sqft RM295 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM420,000

RM328 psf

Median transaction price

Taman Kembara
© OpenStreetMap · CARTO

Taman Kembara, 42000 Klang, Selangor, Malaysia

Maps

Taman Kembara in Klang, Selangor recorded 10 subsale transactions between 2021 and 2026, sized between 1,275 and 1,324 sqft, with a median price of RM420K and a median price per square foot (PSF) of RM328.

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 RM420K, with most transactions falling within a stable range of RM405K to RM435K, and a typical market range of RM396K to RM444K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM328, with most transactions between RM314 and RM342. The usual range is RM295.14 to RM360.64, showing that most units are priced quite close to each other. With an IQR of RM65.50 and MAD of RM14, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.