Property Type
| LIST.MY · Taman Cheng Perdana | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan Cheng Perdana 1/17
|
RM460,000
|
RM326
|
1,410 sqft
|
|
2-Sty Terrace |
|
Jalan Cp 1/18
|
RM250,000
|
RM195
|
1,281 sqft
|
|
Terrace |
|
Jalan Cp 1/20
|
RM270,000
|
RM211
|
1,281 sqft
|
|
Terrace |
Selling in Taman Cheng Perdana? Homes here sold for a median of RM270,000.
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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 Cheng
Market Snapshot
RM270,000
RM211 psfMedian transaction price
RM430,000
RM274 psfMedian transaction price
Taman Cheng Perdana, 75250 Malacca, Malaysia
MapsTaman Cheng Perdana in Melaka Tengah, Melaka recorded 3 subsale transactions in 2025, with a median price of RM270K and a median price per square foot (PSF) of RM211.
This area contains both residential and commercial properties. View 39 residential properties or 9 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM270K, with most transactions falling within a stable range of RM250K to RM365K, and a typical market range of RM250K to RM341K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM211, though individual units vary from RM152 to RM269 in the core range. The broader market spans RM174.54 to RM247.04, indicating diverse property characteristics. A wider spread (IQR: RM72.50) and deviation (MAD: RM58) 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.