Taman Semenyih Permata

17, Jln Semenyih Permata 4, Taman Semenyih Permata, 43500 Semenyih, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 430,000
PSF
RM 244
Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
2-Sty Terrace
RM 370,000
Jalan Semenyih Permata 3
1,281 sqft · RM 289 PSF
2,800 sqft
Terrace
RM 430,000
Jalan Semenyih Permata 9
2,820 sqft · RM 152 PSF
9,000 sqft
Semi-D Factory
RM 2,200,000
Jalan Semenyih Permata 11
8,999 sqft · RM 244 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 400,000

RM 221 psf

Median transaction price

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17, Jln Semenyih Permata 4, Taman Semenyih Permata, 43500 Semenyih, Selangor, Malaysia

Maps

Taman Semenyih Permata in Hulu Langat, Selangor recorded 3 subsale transactions between 2021 and 2026, with a median price of RM 430K and a median price per square foot (PSF) of RM 244.

This area contains both residential and commercial properties. View 6 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 430K, with most transactions falling within a stable range of RM 370K to RM 1.28 million, and a typical market range of RM 389K to RM 471K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM 244, though individual units vary from RM 188 to RM 301 in the core range. The broader market spans RM 185.23 to RM 303.73, indicating diverse property characteristics. The spread of RM 118.50 (IQR) and deviation of RM 57 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.