| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Maya 2
|
RM350,000
|
RM185
|
1,894 sqft
|
|
|
|
Jalan Maya 1
|
RM335,000
|
RM177
|
1,894 sqft
|
|
|
|
Jalan Maya 1
|
RM420,000
|
RM222
|
1,894 sqft
|
|
|
|
Jalan Maya 2
|
RM400,000
|
RM211
|
1,894 sqft
|
|
|
|
Jalan Maya 1
|
RM355,000
|
RM187
|
1,894 sqft
|
|
|
|
Jalan Maya 1
|
RM375,000
|
RM198
|
1,894 sqft
|
|
|
|
Jalan Maya 1
|
RM380,000
|
RM201
|
1,894 sqft
|
|
|
|
Jalan Maya 1
|
RM335,000
|
RM177
|
1,894 sqft
|
|
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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 Pekan Melang
Market Snapshot
ResidentialRM365,000
RM193 psfMedian transaction price
Jalan Maya 1, Taman Maya, 72000 Kuala Pilah, Negeri Sembilan, Malaysia
MapsTaman Maya in Kuala Pilah, Negeri Sembilan recorded 8 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM365K and a median price per square foot (PSF) of RM193.
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 RM365K, with most transactions falling within a stable range of RM336K to RM394K, and a typical market range of RM340K to RM390K.
Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, though some variety exists in the market.
For price per square foot, the median is RM193, with most transactions between RM178 and RM208. The usual range is RM169.67 to RM215.67, showing that most units are priced quite close to each other. A typical spread (IQR) of RM46.00 and an average deviation (MAD) of RM15 indicate a highly stable PSF trend across properties.
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.