Taman Kandang Damai

Kandang, Malacca, Malaysia

Property Transactions

7 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,500 sqft
2-Sty Terrace
RM322,000
Jalan Kd 2
1,507 sqft · RM214 PSF
RM289,000
Jalan Kd 2
1,507 sqft · RM192 PSF
2,900 sqft
2-Sty Shop
RM389,000
Jalan Kd 1
2,906 sqft · RM134 PSF
RM411,000
Jalan Kd 1
2,906 sqft · RM141 PSF
RM400,000
Jalan Kd 1
2,906 sqft · RM138 PSF
3,200 sqft
Semi-D
RM389,000
Jalan Kd 2
3,175 sqft · RM123 PSF
3,900 sqft
Semi-D
RM418,000
Jalan Kd 2
3,918 sqft · RM107 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Kandang

Market Snapshot

Residential

RM355,500

RM116 psf

Median transaction price

Taman Kandang Damai in Melaka Tengah, Melaka recorded 7 subsale transactions between 2021 and 2026, with a median price of RM389K and a median price per square foot (PSF) of RM138.

This area contains both residential and commercial properties. View 4 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 RM389K, with most transactions falling within a stable range of RM367K to RM411K, and a typical market range of RM364K to RM414K.

Most transactions involved 2 - 2 1/2 storey shop, with high diversity across multiple property types.

Price per square foot shows a median of RM138, though individual units vary from RM108 to RM168 in the core range. The broader market spans RM83.13 to RM192.13, indicating diverse property characteristics. The spread of RM109.00 (IQR) and deviation of RM30 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.