| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Cekor Manis 2
|
RM395,000
|
RM308
|
1,281 sqft
|
|
|
Jalan Cekor Manis 3
|
RM580,000
|
RM379
|
1,528 sqft
|
|
2-Sty Terrace |
|
Jalan Andang 3
|
RM400,000
|
RM260
|
1,540 sqft
|
|
Terrace |
|
Jalan Andang 6
|
RM390,000
|
RM236
|
1,650 sqft
|
|
|
Jalan Cekor Manis 3
|
RM428,000
|
RM244
|
1,755 sqft
|
|
|
Jalan Andang 6
|
RM355,000
|
RM127
|
2,799 sqft
|
|
|
Jalan Kunyit
|
RM470,000
|
RM145
|
3,251 sqft
|
|
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Taman Sri Amar
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Plentong
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Market Snapshot
ResidentialRM397,500
RM252 psfMedian transaction price
Taman Sri Amar, 81100 Johor Bahru, Johor Darul Ta'zim, Malaysia
MapsTaman Sri Amar in Johor Bahru, Johor recorded 7 subsale transactions in 2023, with a median price of RM400K and a median price per square foot (PSF) of RM244.
This area contains both residential and commercial properties. View 20 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM400K, with most transactions falling within a stable range of RM355K to RM469K, and a typical market range of RM355K to RM454K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM244, though individual units vary from RM163 to RM325 in the core range. The broader market spans RM192.82 to RM295.07, indicating diverse property characteristics. A wider spread (IQR: RM102.25) and deviation (MAD: RM81) indicate significant PSF variations, likely due to diverse property types or conditions.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.