| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Pakis 6
|
RM280,000
|
RM383
|
732 sqft
|
|
|
|
Jalan Pakis 5
|
RM270,000
|
RM369
|
732 sqft
|
|
|
|
Jalan Pakis 3
|
RM270,000
|
RM369
|
732 sqft
|
|
|
|
Jalan Pakis 4
|
RM250,000
|
RM342
|
732 sqft
|
|
|
Jalan Pakis 6
|
RM330,000
|
RM253
|
1,302 sqft
|
|
|
|
Jalan Pakis 5
|
RM300,000
|
RM231
|
1,300 sqft
|
|
|
|
Jalan Pakis 8
|
RM260,000
|
RM200
|
1,302 sqft
|
|
|
|
Jalan Pakis 6
|
RM270,000
|
RM207
|
1,302 sqft
|
|
|
Jalan Pakis 8
|
RM490,000
|
RM148
|
3,301 sqft
|
|
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Taman Handal
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 Senai
Market Snapshot
ResidentialRM270,000
RM253 psfMedian transaction price
Taman Handal, 81400 Senai, Johor Darul Ta'zim, Malaysia
MapsTaman Handal in Kulai, Johor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM270K and a median price per square foot (PSF) of RM253.
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 RM270K, with most transactions falling within a stable range of RM260K to RM280K, and a typical market range of RM255K to RM285K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
Price per square foot shows a median of RM253, though individual units vary from RM164 to RM342 in the core range. The broader market spans RM172.37 to RM334.37, indicating diverse property characteristics. A wider spread (IQR: RM162.00) and deviation (MAD: RM89) 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. 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.