Casuarina Park (Kondo Pandan Wangi)

Klebang Kechil, 75200 Klebang, Melaka, Malaysia

Property Transactions

11 subsales found

Median
RM198,000
PSF
RM242
Period
transactions middle 50% (P25–P75)
RM190,000
Level 3
786 sqft RM242 PSF
RM180,000
Level 3
818 sqft RM220 PSF
RM180,000
Level 3
840 sqft RM214 PSF
RM191,000
Level 3
883 sqft RM216 PSF
RM193,000
Level 3
904 sqft RM213 PSF
RM198,000
Level 3
1,001 sqft RM198 PSF
RM495,000
Level 2
1,496 sqft RM331 PSF
RM390,000
Level 3
1,507 sqft RM259 PSF
RM498,000
Level 1
1,582 sqft RM315 PSF
RM400,000
Level 2
1,636 sqft RM244 PSF
RM500,000
Level 1
1,733 sqft RM289 PSF
Legend Recent Highest Price Highest PSF

Selling in Casuarina Park (Kondo Pandan Wangi)? Homes here sold for a median of RM198,000.

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Casuarina Park (Kondo Pandan Wangi)
© OpenStreetMap · CARTO

Klebang Kechil, 75200 Klebang, Melaka, Malaysia

Maps

Casuarina Park (Kondo Pandan Wangi) in Melaka Tengah, Melaka recorded 11 subsale transactions between 2021 and 2026, with a median price of RM198K and a median price per square foot (PSF) of RM242.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM198K, with most transactions falling within a stable range of RM180K to RM216K, and a typical market range of RM180K to RM327K.

Most transactions involved shop unit/retail lot, with minimal variety in property types.

The median PSF stands at RM242, with core pricing between RM214 and RM270. Market pricing typically extends from RM212.30 to RM271.30, reflecting moderate variation in unit pricing. With an IQR of RM59.00 and MAD of RM28, 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.