Taman Industri Mega

43500 Semenyih, Selangor, Malaysia

Property Transactions

9 subsales grouped by size

Median
RM 860,000
PSF
RM 226
Price Size
Period
transactions middle 50% (P25–P75)
3,800 sqft
Terrace Factory
RM 900,000
Jalan Mega 2A
3,810 sqft · RM 236 PSF
RM 920,000
Persiaran Mega A
3,810 sqft · RM 241 PSF
RM 920,000
Jalan Mega 3A
3,810 sqft · RM 241 PSF
RM 900,000
Jalan Persiaran Mega A
3,810 sqft · RM 236 PSF
RM 860,000
Jalan Mega 2A
3,810 sqft · RM 226 PSF
RM 650,000
Jalan Mega 2A
3,810 sqft · RM 171 PSF
+3 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 860,000

RM 226 psf

Median transaction price

Taman Industri Mega
© OpenStreetMap · CARTO

Taman Industri Mega, 43500 Semenyih, Selangor, Malaysia

Maps

Taman Industri Mega in Hulu Langat, Selangor recorded 9 Terraced Factory properties subsale transactions between 2021 and 2026, with a median price of RM 860K and a median price per square foot (PSF) of RM 226.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 860K, with most transactions falling within a stable range of RM 774K to RM 920K, and a typical market range of RM 650K to RM 920K.

Within the Terraced Factory category, semi-detached factory/warehouse dominated the market, though some variety exists in the market.

For price per square foot, the median is RM 226, with most transactions between RM 203 and RM 248. The usual range is RM 177.70 to RM 273.70, showing that most units are priced quite close to each other. With an IQR of RM 96.00 and MAD of RM 23, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.