| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Rasa Sayang 7
|
RM 270,000
|
RM 246
|
1,098 sqft
|
|
|
|
Jalan Rasa Sayang 7
|
RM 260,000
|
RM 237
|
1,098 sqft
|
|
|
Jalan Rasa Sayang 7
|
RM 250,000
|
RM 215
|
1,163 sqft
|
|
|
Jalan Rasa Sayang 4
|
RM 170,000
|
RM 142
|
1,195 sqft
|
|
|
|
Jalan Rasa Sayang 6
|
RM 145,000
|
RM 121
|
1,195 sqft
|
|
|
|
Jalan Rasa Sayang 4
|
RM 180,000
|
RM 151
|
1,195 sqft
|
|
|
|
Jalan Rasa Sayang 5
|
RM 165,000
|
RM 138
|
1,195 sqft
|
|
|
|
Jalan Rasa Sayang 5
|
RM 180,000
|
RM 151
|
1,195 sqft
|
|
|
|
Jalan Rasa Sayang 4
|
RM 200,000
|
RM 167
|
1,195 sqft
|
|
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Market Snapshot
ResidentialRM 175,000
RM 146 psfMedian transaction price
94, Taman Rasa Sayang Selaru, Taman Desa Permai Selaru, 72000 Kuala Pilah, Negeri Sembilan, Malaysia
MapsTaman Rasa Sayang [ Selaru ] in Kuala Pilah, Negeri Sembilan recorded 13 subsale transactions between 2021 and 2026, with a median price of RM 175K and a median price per square foot (PSF) of RM 146.
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 175K, with most transactions falling within a stable range of RM 145K to RM 215K, and a typical market range of RM 165K to RM 185K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
Price per square foot shows a median of RM 146, though individual units vary from RM 106 to RM 186 in the core range. The broader market spans RM 136.22 to RM 156.72, indicating diverse property characteristics. A wider spread (IQR: RM 20.50) and deviation (MAD: RM 40) 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.