Apartment Nusa Puncak

Jln Gelang Patah, Taman Nusa Puncak, 81550 Gelang Patah, Johor Darul Ta'zim, Malaysia

Property Transactions

10 subsales grouped by size

Median
RM425,000
PSF
RM428
Price Size
Period
transactions middle 50% (P25–P75)
550 sqft
Serviced Apt
RM260,000
Level 15
573 sqft · RM454 PSF
750 sqft
Serviced Apt
RM450,000
Level 10
750 sqft · RM600 PSF
1,000 sqft
Serviced Apt
RM380,000
Level 18
1,004 sqft · RM379 PSF
RM390,000
Level 17
1,004 sqft · RM388 PSF
RM430,000
Level 6
1,004 sqft · RM428 PSF
RM430,000
Level 12
1,004 sqft · RM428 PSF
1,050 sqft
Serviced Apt
RM450,000
Level 14
1,042 sqft · RM432 PSF
RM400,000
Level 13
1,050 sqft · RM381 PSF
RM450,000
Level 15
1,050 sqft · RM429 PSF
RM420,000
Level 4
1,050 sqft · RM400 PSF
Legend Recent Highest Price Highest PSF

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Apartment Nusa Puncak
© OpenStreetMap · CARTO

Jln Gelang Patah, Taman Nusa Puncak, 81550 Gelang Patah, Johor Darul Ta'zim, Malaysia

Maps

Apartment Nusa Puncak in Johor Bahru, Johor recorded 10 subsale transactions in 2021, with a median price of RM425K and a median price per square foot (PSF) of RM428.

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 RM425K, with most transactions falling within a stable range of RM371K to RM450K, and a typical market range of RM370K to RM450K.

Most transactions involved serviced apartment, with minimal variety in property types.

The median PSF stands at RM428, with core pricing between RM367 and RM489. Market pricing typically extends from RM395.94 to RM460.69, reflecting moderate variation in unit pricing. With an IQR of RM64.75 and MAD of RM61, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.