Taman Mas

81550 Gelang Patah, Johor Darul Ta'zim, Malaysia

Property Transactions

14 subsales grouped by size

Period
transactions middle 50% (P25–P75)
800 sqft
LC House
RM250,000
Jalan Ros 1
775 sqft · RM323 PSF
RM320,000
Jalan Ros 4
775 sqft · RM413 PSF
RM250,000
Jalan Ros 5
775 sqft · RM323 PSF
RM270,000
Jalan Ros 6
775 sqft · RM348 PSF
1,200 sqft
Terrace
RM370,000
Jalan Ros 2
1,195 sqft · RM310 PSF
RM450,000
Jalan Ros 2
1,195 sqft · RM377 PSF
RM370,000
Jalan Ros 3
1,195 sqft · RM310 PSF
RM380,000
Jalan Ros 2
1,195 sqft · RM318 PSF
RM405,000
Jalan Ros 2
1,195 sqft · RM339 PSF
RM265,000
Jalan Ros 3
1,200 sqft · RM221 PSF
+4 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM370,000

RM318 psf

Median transaction price

Taman Mas
© OpenStreetMap · CARTO

Taman Mas, 81550 Gelang Patah, Johor Darul Ta'zim, Malaysia

Maps

Taman Mas in Johor Bahru, Johor recorded 14 subsale transactions between 2021 and 2026, with a median price of RM370K and a median price per square foot (PSF) of RM318.

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 RM370K, with most transactions falling within a stable range of RM328K to RM413K, and a typical market range of RM321K to RM419K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM318, with most transactions between RM310 and RM326. The usual range is RM305.55 to RM330.55, showing that most units are priced quite close to each other. A typical spread (IQR) of RM25.00 and an average deviation (MAD) of RM8 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. 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.