Taman Tasik Semenyih

Semenyih, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 440,000
PSF
RM 140
Price Size
Period
transactions middle 50% (P25–P75)
3,150 sqft
2-Sty Shop
RM 680,000
Jalan Tts 2/5
3,154 sqft · RM 216 PSF
RM 350,000
Jalan Tts 2/2
3,154 sqft · RM 111 PSF
RM 620,000
Jalan Tts 2/1
3,154 sqft · RM 197 PSF
RM 355,000
Jalan Tts 2/2
3,154 sqft · RM 113 PSF
RM 440,000
Jalan Tts 2/2
3,154 sqft · RM 140 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 450,000

RM 166 psf

Median transaction price

Taman Tasik Semenyih
© OpenStreetMap · CARTO

Taman Tasik Semenyih, Semenyih, Selangor, Malaysia

Maps

Taman Tasik Semenyih in Hulu Langat, Selangor recorded 5 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM 440K and a median price per square foot (PSF) of RM 140.

This area contains both residential and commercial properties. View 71 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 440K, with most transactions falling within a stable range of RM 350K to RM 577K, and a typical market range of RM 350K to RM 565K.

Within the Double Storey Shop category, detached dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM 140, though individual units vary from RM 96 to RM 183 in the core range. The broader market spans RM 85.51 to RM 193.51, indicating diverse property characteristics. A wider spread (IQR: RM 108.00) and deviation (MAD: RM 43) 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.