Property Type
| LIST.MY · Taman Lelayang | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Ladang Geddes
|
RM350,000
|
RM143
|
2,454 sqft
|
|
2-Sty Shop |
|
Ladang Geddes
|
RM225,000
|
RM92
|
2,454 sqft
|
|
2-Sty Shop |
Selling in Taman Lelayang? Homes here sold for a median of RM287,500.
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Nearby areas in Pekan Ldg Geddes
Taman Lelayang
Taman Layang Ladang Gerdes
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 Ldg Geddes
Market Snapshot
ResidentialRM120,000
RM90 psfMedian transaction price
Unnamed Road, 72120, 72120 Rompin, Negeri Sembilan, Malaysia
MapsTaman Lelayang in Jempol, Negeri Sembilan recorded 2 subsale transactions between 2021 and 2026, sized between 2,425 and 2,474 sqft, with a median price of RM288K and a median price per square foot (PSF) of RM117.
This area contains both residential and commercial properties. View 6 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM288K, with most transactions falling within a stable range of RM225K to RM350K, and a typical market range of RM225K to RM350K.
Most transactions involved low-cost house, with high diversity across multiple property types.
Price per square foot shows a median of RM117, though individual units vary from RM92 to RM143 in the core range. The broader market spans RM70.40 to RM163.90, indicating diverse property characteristics. The spread of RM93.50 (IQR) and deviation of RM25 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.