Nusa Duta

81200 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 2,275,000
PSF
RM 465
Price Size
3,750 sqft
Semi-D
RM 2,030,000
Jalan Duta 1/11
3,746 sqft · RM 542 PSF
3,950 sqft
Semi-D
RM 2,330,000
Jalan Duta 2/13
3,937 sqft · RM 592 PSF
4,700 sqft
Semi-D
RM 2,300,000
Jalan Duta 3/10
4,687 sqft · RM 491 PSF
5,000 sqft
Bungalow
RM 2,200,000
Jalan Duta 3/7
5,000 sqft · RM 440 PSF
6,000 sqft
Bungalow
RM 2,362,000
Jalan Duta 3/3
6,000 sqft · RM 394 PSF
12,750 sqft
Semi-D
RM 2,250,000
Jalan Duta 1/13
12,734 sqft · RM 177 PSF
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Market Snapshot

Residential

RM 2,275,000

RM 465 psf

Median transaction price

Nusa Duta
© OpenStreetMap · CARTO

Nusa Duta, 81200 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Nusa Duta in Johor Bahru, Johor recorded 6 subsale transactions between 2021 and 2026, priced from RM 2.00 million and above, with a median price of RM 2.28 million and a median price per square foot (PSF) of RM 465.

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

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 2.28 million, with most transactions falling within a stable range of RM 2.17 million to RM 2.36 million, and a typical market range of RM 2.03 million to RM 2.36 million.

Most transactions involved cluster house, with high diversity across multiple property types.

Price per square foot shows a median of RM 465, though individual units vary from RM 331 to RM 599 in the core range. The broader market spans RM 411.46 to RM 519.20, indicating diverse property characteristics. A wider spread (IQR: RM 107.75) and deviation (MAD: RM 134) indicate significant PSF variations, likely due to diverse property types or conditions.

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.