Nusajaya Tech Park

11, Jln Teknologi Perintis 1/1, Kampung Baharu, 81550 Gelang Patah, Johor Darul Ta'zim, Malaysia

Property Transactions

5 subsales grouped by size · Semi-D Factory →

Median
RM 8,000,000
PSF
RM 299
21,400 sqft
Semi-D Factory
RM 6,000,000
Jalan Teknologi Perintis 1/2
21,420 sqft · RM 280 PSF
26,750 sqft
Semi-D Factory
RM 8,000,000
Jalan Teknologi Perintis 1/1
26,770 sqft · RM 299 PSF
27,750 sqft
Semi-D Factory
RM 8,500,000
Jalan Teknologi Perintis 1/1
27,771 sqft · RM 306 PSF
RM 6,800,000
Jalan Teknologi Perintis 1/2
27,771 sqft · RM 245 PSF
47,450 sqft
Factory
RM 14,380,000
Jalan Teknologi Perintis 1/3
47,469 sqft · RM 303 PSF
Legend Recent Highest Price Highest PSF
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Rental Yield Data

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11, Jln Teknologi Perintis 1/1, Kampung Baharu, 81550 Gelang Patah, Johor Darul Ta'zim, Malaysia

Maps

Nusajaya Tech Park in Johor Bahru, Johor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 8.00 million and a median price per square foot (PSF) of RM 299.

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 8.00 million, with most transactions falling within a stable range of RM 6.80 million to RM 9.20 million, and a typical market range of RM 7.15 million to RM 8.85 million.

Most transactions involved semi-detached factory/warehouse, though some variety exists in the market.

For price per square foot, the median is RM 299, with most transactions between RM 292 and RM 306. The usual range is RM 287.34 to RM 310.34, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 23.00 and an average deviation (MAD) of RM 7 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.