| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Permata 3
|
RM138,000
|
RM126
|
1,098 sqft
|
|
|
|
Lorong Permata
|
RM190,000
|
RM173
|
1,098 sqft
|
|
|
|
Jalan Delima 2
|
RM140,000
|
RM128
|
1,098 sqft
|
|
|
|
Jalan Delima 1
|
RM100,000
|
RM90
|
1,109 sqft
|
|
|
|
Jalan Baiduri 2
|
RM97,000
|
RM88
|
1,098 sqft
|
|
|
|
Jalan Permata 2
|
RM80,000
|
RM73
|
1,098 sqft
|
|
|
Lorong Berlian 1
|
RM220,000
|
RM80
|
2,766 sqft
|
|
Selling in Taman Bukit Intan? Homes here sold for a median of RM138,000.
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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 Pilah
Market Snapshot
ResidentialRM138,000
RM90 psfMedian transaction price
Taman Batu Intan, 72000 Kuala Pilah, Negeri Sembilan, Malaysia
MapsTaman Bukit Intan in Kuala Pilah, Negeri Sembilan recorded 7 subsale transactions between 2021 and 2026, with a median price of RM138K and a median price per square foot (PSF) of RM90.
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 RM138K, with most transactions falling within a stable range of RM90K to RM186K, and a typical market range of RM100K to RM176K.
Most transactions involved low-cost house, with minimal variety in property types.
Price per square foot shows a median of RM90, though individual units vary from RM57 to RM123 in the core range. The broader market spans RM73.20 to RM107.20, indicating diverse property characteristics. A wider spread (IQR: RM34.00) and deviation (MAD: RM33) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.