Taman Tasik Impian

Jalan Impian, Bandar Puchong Utama, 47100 Puchong, Selangor, Malaysia

Property Transactions

5 subsales found

Median
RM1,600,000
PSF
RM516
Price Size
Period
transactions middle 50% (P25–P75)
RM2,000,000
Jalan Tasik Impian 1
3,100 sqft RM645 PSF
RM1,550,000
Taman Tasik Impian 1
3,100 sqft RM500 PSF
RM1,600,000
Taman Tasik Impian 1
3,100 sqft RM516 PSF
RM1,680,000
Jalan Tasik Impian 1
3,100 sqft RM542 PSF
RM1,600,000
Taman Tasik Impian 1
3,100 sqft RM516 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Tasik Impian? Homes here sold for a median of RM1,600,000.

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Market Snapshot

Residential

RM1,600,000

RM516 psf

Median transaction price

Taman Tasik Impian
© OpenStreetMap · CARTO

Jalan Impian, Bandar Puchong Utama, 47100 Puchong, Selangor, Malaysia

Maps

Taman Tasik Impian in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions between 2021 and 2026, sized between 3,075 and 3,124 sqft, with a median price of RM1.60 million and a median price per square foot (PSF) of RM516.

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 RM1.60 million, with most transactions falling within a stable range of RM1.55 million to RM1.76 million, and a typical market range of RM1.55 million to RM1.71 million.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

The median PSF stands at RM516, with core pricing between RM464 and RM569. Market pricing typically extends from RM383.38 to RM648.88, reflecting moderate variation in unit pricing. With an IQR of RM265.50 and MAD of RM52, 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.