Taman Permata

81200 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

14 subsales grouped by road · 2-Sty Terrace →

Period
transactions middle 50% (P25–P75)
RM 650,000
2,314 sqft
RM 281 PSF · 2-Sty Terrace
RM 850,000
2,971 sqft
RM 286 PSF · Semi-D
RM 1,050,000
5,048 sqft
RM 208 PSF · Semi-D
RM 620,000
2,314 sqft
RM 268 PSF · 2-Sty Terrace
RM 640,000
2,303 sqft
RM 278 PSF
RM 650,000
2,303 sqft
RM 282 PSF
RM 600,000
2,314 sqft
RM 259 PSF
RM 688,000
2,314 sqft
RM 297 PSF
RM 510,000
2,303 sqft
RM 221 PSF
RM 650,000
2,303 sqft
RM 282 PSF
RM 650,000
2,314 sqft
RM 281 PSF
RM 1,100,000
4,779 sqft
RM 230 PSF
RM 490,000
2,303 sqft
RM 213 PSF
RM 630,000
2,314 sqft
RM 272 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 650,000

RM 380 psf

Median transaction price

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Taman Permata, 81200 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Taman Permata in Johor Bahru, Johor recorded 14 subsale transactions between 2021 and 2026, with a median price of RM 650K and a median price per square foot (PSF) of RM 278.

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 650K, with most transactions falling within a stable range of RM 616K to RM 684K, and a typical market range of RM 622K to RM 678K.

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

For price per square foot, the median is RM 278, with most transactions between RM 262 and RM 293. The usual range is RM 229.34 to RM 326.34, showing that most units are priced quite close to each other. With an IQR of RM 97.00 and MAD of RM 16, 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.