| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Padi Malinja 5
|
RM 260,000
|
RM 176
|
1,475 sqft
|
|
|
Jalan Padi Mahsuri 7
|
RM 250,000
|
RM 157
|
1,593 sqft
|
|
|
|
Jalan Padi Mahsuri 8
|
RM 270,000
|
RM 169
|
1,600 sqft
|
|
|
Jalan Padi Mahsuri 4
|
RM 380,000
|
RM 225
|
1,690 sqft
|
|
|
Jalan Padi Malinja 2
|
RM 340,000
|
RM 193
|
1,760 sqft
|
|
|
|
Jalan Padi Malinja 6
|
RM 320,000
|
RM 182
|
1,755 sqft
|
|
|
Lorong Padi Mahsuri 2
|
RM 280,000
|
RM 118
|
2,367 sqft
|
|
|
Lorong Padi Mahsuri 11
|
RM 320,000
|
RM 111
|
2,880 sqft
|
|
|
Jalan Padi Mahsuri 5
|
RM 780,000
|
RM 207
|
3,767 sqft
|
|
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Market Snapshot
ResidentialRM 280,000
RM 169 psfMedian transaction price
Taman Senai Baru, 81400 Senai, Johor Darul Ta'zim, Malaysia
MapsTaman Senai Baru in Kulai, Johor recorded 9 subsale transactions in 2022, with a median price of RM 320K and a median price per square foot (PSF) of RM 176.
This area contains both residential and commercial properties. View 18 residential properties or 4 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 320K, with most transactions falling within a stable range of RM 250K to RM 475K, and a typical market range of RM 250K to RM 399K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM 176, though individual units vary from RM 141 to RM 212 in the core range. The broader market spans RM 143.31 to RM 209.31, indicating diverse property characteristics. The spread of RM 66.00 (IQR) and deviation of RM 36 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.