| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM 120,000
|
RM 164
|
732 sqft
|
|
|
|
Level 1
|
RM 130,000
|
RM 178
|
732 sqft
|
|
|
|
Level 1
|
RM 150,000
|
RM 205
|
732 sqft
|
|
|
|
Level 1
|
RM 140,000
|
RM 191
|
732 sqft
|
|
|
|
Level 2
|
RM 150,000
|
RM 205
|
732 sqft
|
|
|
|
Level 1
|
RM 137,000
|
RM 187
|
732 sqft
|
|
|
Jalan Lp 1
|
RM 170,000
|
RM 155
|
1,098 sqft
|
|
|
Jalan Lp 17
|
RM 240,000
|
RM 156
|
1,539 sqft
|
|
|
|
Jalan Lp 14
|
RM 270,000
|
RM 172
|
1,572 sqft
|
|
|
Jalan Lp 13
|
RM 250,000
|
RM 152
|
1,647 sqft
|
|
|
|
Jalan Lp 3
|
RM 240,000
|
RM 146
|
1,647 sqft
|
|
|
Jalan Lp 15
|
RM 276,000
|
RM 163
|
1,690 sqft
|
|
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Market Snapshot
ResidentialRM 150,000
RM 178 psfMedian transaction price
Taman Limbongan Permai, Malacca, Malaysia
MapsTaman Limbongan Permai in Melaka Tengah, Melaka recorded 15 subsale transactions in 2023, with a median price of RM 150K and a median price per square foot (PSF) of RM 178.
This area contains both residential and commercial properties. View 62 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 150K, with most transactions falling within a stable range of RM 120K to RM 204K, and a typical market range of RM 120K to RM 226K.
Most transactions involved town house, with high diversity across multiple property types.
The median PSF stands at RM 178, with core pricing between RM 155 and RM 200. Market pricing typically extends from RM 158.61 to RM 196.61, reflecting moderate variation in unit pricing. With an IQR of RM 38.00 and MAD of RM 23, the PSF demonstrates reasonable consistency across the market.
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.