Taman Aman Putri

Taman Aman Putri,Sungai Buloh, 40160 Shah Alam, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 938,000
PSF
RM 333
Price Size
Period
transactions middle 50% (P25–P75)
2,800 sqft
2-Sty Shop
RM 938,000
Jalan Aman Damai J U17/J
2,820 sqft · RM 333 PSF
2,850 sqft
2-Sty Shop
RM 830,000
Jalan Aman Damai H U17/H
2,863 sqft · RM 290 PSF
4,350 sqft
2-Sty Shop
RM 1,480,000
Jalan Aman Damai H U17/H
4,349 sqft · RM 340 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 670,000

RM 367 psf

Median transaction price

Taman Aman Putri
© OpenStreetMap · CARTO

Taman Aman Putri,Sungai Buloh, 40160 Shah Alam, Selangor, Malaysia

Maps

Taman Aman Putri in Petaling, Selangor recorded 3 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM 938K and a median price per square foot (PSF) of RM 333.

This area contains both residential and commercial properties. View 58 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 938K, with most transactions falling within a stable range of RM 830K to RM 1.22 million, and a typical market range of RM 830K to RM 1.10 million.

Within the Double Storey Shop category, 2 - 2 1/2 storey terraced dominated the market, with minimal variety in property types.

For price per square foot, the median is RM 333, with most transactions between RM 310 and RM 355. The usual range is RM 265.11 to RM 400.11, showing that most units are priced quite close to each other. With an IQR of RM 135.00 and MAD of RM 22, the PSF demonstrates reasonable consistency across the market.

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.