| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Cakera Purnama 12/17
|
RM480,000
|
RM564
|
850 sqft
|
|
|
|
Lorong Cakera Purnama 12/13, Seksyen 12
|
RM348,000
|
RM404
|
861 sqft
|
|
|
|
Lorong Cakera Purnama 12/13E
|
RM380,000
|
RM441
|
861 sqft
|
|
|
|
Lorong. Cakera Purnama 12/4, Seksyen 12
|
RM430,000
|
RM506
|
850 sqft
|
|
|
Lorong. Cakera Purnama 12/13E, Seksyen 12
|
RM400,000
|
RM418
|
958 sqft
|
|
|
Lorong Cakera Purnama 12/30
|
RM440,000
|
RM365
|
1,206 sqft
|
|
|
Lorong Lautan Samudera 9/14
|
RM450,000
|
RM300
|
1,500 sqft
|
|
Selling in Puncak Alam? Homes here sold for a median of RM430,000.
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Ijok
Market Snapshot
ResidentialRM430,000
RM418 psfMedian transaction price
Puncak Alam, Selangor, Malaysia
MapsPuncak Alam in Kuala Selangor, Selangor recorded 7 subsale transactions in 2025, with a median price of RM430K and a median price per square foot (PSF) of RM418.
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 RM430K, with most transactions falling within a stable range of RM388K to RM472K, and a typical market range of RM348K to RM480K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
The median PSF stands at RM418, with core pricing between RM337 and RM499. Market pricing typically extends from RM376.04 to RM459.04, reflecting moderate variation in unit pricing. The spread of RM83.00 (IQR) and deviation of RM81 (MAD) suggest moderate price variations reflecting different property features.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.