Taman Semenyih Permata

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

Property Transactions

3 subsales grouped by size

Median
RM 335,000
PSF
RM 301
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
2-Sty Terrace
RM 330,000
Jalan Semenyih Permata 2
1,098 sqft · RM 301 PSF
1,300 sqft
2-Sty Terrace
RM 440,000
Jalan Semenyih Permata 2
1,281 sqft · RM 344 PSF
2,350 sqft
Terrace
RM 335,000
Jalan Semenyih Permata 5
2,357 sqft · RM 142 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 335,000

RM 301 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 in 2023, with a median price of RM 335K and a median price per square foot (PSF) of RM 301.

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 335K, with most transactions falling within a stable range of RM 330K to RM 386K, and a typical market range of RM 330K to RM 376K.

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 301, though individual units vary from RM 214 to RM 387 in the core range. The broader market spans RM 241.32 to RM 359.82, indicating diverse property characteristics. A wider spread (IQR: RM 118.50) and deviation (MAD: RM 87) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.