Taman Nusa Perintis I

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

Property Transactions

6 subsales grouped by size

Median
RM 550,000
PSF
RM 109
Price Size
Period
transactions middle 50% (P25–P75)
4,500 sqft
Bungalow
RM 499,000
Jalan Nusa Perintis 6/8
4,499 sqft · RM 111 PSF
RM 550,000
Jalan Np 6
4,499 sqft · RM 122 PSF
4,550 sqft
Bungalow
RM 635,000
Jalan Nusa Perintis 5/1
4,532 sqft · RM 140 PSF
5,000 sqft
Bungalow
RM 540,000
Jalan Nusa Perintis 4/6
5,005 sqft · RM 108 PSF
5,200 sqft
Bungalow
RM 550,000
Jalan Nusa Perintis 5/2
5,210 sqft · RM 106 PSF
5,250 sqft
Bungalow
RM 560,000
Jalan Nusa Perintis 4/3
5,264 sqft · RM 106 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 550,000

RM 109 psf

Median transaction price

Taman Nusa Perintis I
© OpenStreetMap · CARTO

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

Maps

Taman Nusa Perintis I in Johor Bahru, Johor recorded 6 subsale transactions in 2024, with a median price of RM 550K and a median price per square foot (PSF) of RM 109.

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 550K, with most transactions falling within a stable range of RM 510K to RM 590K, and a typical market range of RM 522K to RM 578K.

Most transactions involved detached, with minimal variety in property types.

The median PSF stands at RM 109, with core pricing between RM 97 and RM 122. Market pricing typically extends from RM 105.03 to RM 113.78, reflecting moderate variation in unit pricing. With an IQR of RM 8.75 and MAD of RM 12, 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.