Port Tech Tower

Jalan Tiara 3, Bandar Baru Klang, 41150 Klang, Selangor, Malaysia

Port Tech Tower uses postcode 41150, shared with 37 other areas.

Property Transactions

7 subsales grouped by size · Office →

Median
RM361,000
PSF
RM280
Period
transactions middle 50% (P25–P75)
800 sqft
Office
RM226,000
Level 14
806 sqft · RM280 PSF
RM182,000
Level 13
806 sqft · RM226 PSF
1,100 sqft
Office
RM313,000
Level 14
1,116 sqft · RM280 PSF
RM450,000
Level G
1,294 sqft · RM348 PSF
RM361,000
Level 14
1,288 sqft · RM280 PSF
RM515,000
Level 11
1,288 sqft · RM400 PSF
2,000 sqft
Office
RM565,000
Level 14
2,016 sqft · RM280 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM361,000

RM280 psf

Median transaction price

Port Tech Tower
© OpenStreetMap · CARTO

Jalan Tiara 3, Bandar Baru Klang, 41150 Klang, Selangor, Malaysia

Maps

Port Tech Tower in Klang, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM361K and a median price per square foot (PSF) of RM280.

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 RM361K, with most transactions falling within a stable range of RM226K to RM496K, and a typical market range of RM255K to RM468K.

Most transactions involved office lot, though some variety exists in the market.

For price per square foot, the median is RM280, with most transactions between RM280 and RM280. The usual range is RM263.38 to RM297.38, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.00 and an average deviation (MAD) of RM0 indicate a highly stable PSF trend across properties.

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.