Twin Palms Kemensah

68000 Ampang, Selangor, Malaysia

Property Transactions

11 subsales found

Median
RM2,380,000
PSF
RM500
Period
transactions middle 50% (P25–P75)
RM2,380,000
Jalan Palma 2
6,180 sqft RM385 PSF
RM2,370,000
Jalan Palma 1E
4,500 sqft RM527 PSF
RM2,480,000
Jalan Palma 1F
4,500 sqft RM551 PSF
RM1,930,000
Jalan Palma 2
4,500 sqft RM429 PSF
RM2,500,000
Jalan Palma 2
6,471 sqft RM386 PSF
RM3,480,000
Jalan Palma 1F
6,703 sqft RM519 PSF
RM2,550,000
Jalan Palma 1C
4,500 sqft RM567 PSF
RM2,318,000
Jalan Palma 1E
4,500 sqft RM515 PSF
RM2,250,000
Jalan Palma 1B
4,500 sqft RM500 PSF
RM3,400,000
Jalan Palma 1A
7,705 sqft RM441 PSF
RM2,100,000
Jalan Palma 1E
4,500 sqft RM467 PSF
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Market Snapshot

Residential

RM2,380,000

RM500 psf

Median transaction price

Twin Palms Kemensah
© OpenStreetMap · CARTO

Twin Palms Kemensah, 68000 Ampang, Selangor, Malaysia

Maps

Twin Palms Kemensah in Gombak, Selangor recorded 11 subsale transactions between 2021 and 2026, with a median price of RM2.38 million and a median price per square foot (PSF) of RM500.

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 RM2.38 million, with most transactions falling within a stable range of RM2.25 million to RM2.51 million, and a typical market range of RM2.26 million to RM2.50 million.

Most transactions involved detached, with minimal variety in property types.

The median PSF stands at RM500, with core pricing between RM449 and RM551. Market pricing typically extends from RM455.96 to RM543.96, reflecting moderate variation in unit pricing. With an IQR of RM88.00 and MAD of RM51, 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.