Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Intan 3/1
|
RM450,000
|
RM498
|
904 sqft
|
|
|
Jalan Intan 1A
|
RM430,000
|
RM425
|
1,012 sqft
|
|
|
Jalan Intan 1/5
|
RM650,000
|
RM479
|
1,356 sqft
|
|
|
Jalan Intan 1/1
|
RM490,000
|
RM350
|
1,400 sqft
|
|
|
|
Jalan Intan 1/7
|
RM395,000
|
RM282
|
1,400 sqft
|
|
|
Jalan Intan 1
|
RM1,100,000
|
RM232
|
4,747 sqft
|
|
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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 Pekan Puchong Perdana
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Market Snapshot
RM450,000
RM425 psfMedian transaction price
RM1,100,000
RM232 psfMedian transaction price
Taman Puchong Intan, 47100 Puchong, Selangor, Malaysia
MapsTaman Puchong Intan in Petaling, Selangor recorded 6 subsale transactions in 2025, with a median price of RM470K and a median price per square foot (PSF) of RM388.
This area contains both residential and commercial properties. View 66 residential properties or 15 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM470K, with most transactions falling within a stable range of RM395K to RM714K, and a typical market range of RM420K to RM520K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM388, though individual units vary from RM289 to RM486 in the core range. The broader market spans RM280.50 to RM494.50, indicating diverse property characteristics. A wider spread (IQR: RM214.00) and deviation (MAD: RM98) indicate significant PSF variations, likely due to diverse property types or conditions.
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.