Bandar Nusajaya

Iskandar Puteri, Johor, Malaysia

Property Transactions

11 subsales grouped by size · Condo →

Median
RM 382,500
PSF
RM 413
750 sqft
Condo
RM 350,000
Level 3
750 sqft · RM 467 PSF
RM 242,000
Level 1
750 sqft · RM 323 PSF
RM 345,000
Level 5
750 sqft · RM 460 PSF
RM 310,000
Level 1
750 sqft · RM 413 PSF
1,000 sqft
Condo
RM 375,000
Level 7
1,001 sqft · RM 375 PSF
RM 390,000
Level 8
1,001 sqft · RM 390 PSF
RM 330,000
Level 9
1,004 sqft · RM 329 PSF
1,050 sqft
Condo
RM 450,000
Level 2
1,033 sqft · RM 435 PSF
1,300 sqft
Condo
RM 400,000
Level 14
1,313 sqft · RM 305 PSF
1,600 sqft
2-Sty Terrace
RM 650,000
Jalan Prima 3/6
1,604 sqft · RM 405 PSF
2,850 sqft
Condo
RM 1,200,000
Level 20
2,874 sqft · RM 418 PSF
11
transactions

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Market Snapshot

Residential

RM 382,500

RM 402 psf

Median transaction price

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Iskandar Puteri, Johor, Malaysia

Maps

Bandar Nusajaya in Johor Bahru, Johor recorded 12 subsale transactions between 2021 and 2026, with a median price of RM 383K and a median price per square foot (PSF) of RM 413.

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 383K, with most transactions falling within a stable range of RM 323K to RM 443K, and a typical market range of RM 303K to RM 462K.

Most transactions involved condominium/apartment, though some variety exists in the market.

The median PSF stands at RM 413, with core pricing between RM 367 and RM 459. Market pricing typically extends from RM 374.45 to RM 452.20, reflecting moderate variation in unit pricing. With an IQR of RM 77.75 and MAD of RM 46, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.