| LIST.MY · Taman Paya Dalam Damai | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan Pdd 1
|
RM245,000
|
RM130
|
1,884 sqft
|
|
Terrace |
| 2024 | |||||
|
Jalan Paya Dalam Damai
|
RM246,000
|
RM130
|
1,894 sqft
|
|
Terrace |
| 2022 | |||||
|
Jalan Paya Dalam Damai
|
RM255,000
|
RM135
|
1,894 sqft
|
|
Terrace |
|
Jalan Paya Dalam Damai
|
RM256,000
|
RM134
|
1,905 sqft
|
|
Terrace |
Selling in Taman Paya Dalam Damai? Homes here sold for a median of RM250,500.
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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 Bkt Lintang
Market Snapshot
ResidentialRM250,500
RM132 psfMedian transaction price
Jalan PDD 1, Taman Paya Dalam, 75460 Ayer Molek, Melaka, Malaysia
MapsTaman Paya Dalam Damai in Melaka Tengah, Melaka recorded 4 subsale transactions between 2021 and 2026, sized between 1,875 and 1,924 sqft, with a median price of RM251K and a median price per square foot (PSF) of RM132.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM251K, with most transactions falling within a stable range of RM245K to RM256K, and a typical market range of RM245K to RM256K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM132, with most transactions between RM130 and RM134. The usual range is RM122.22 to RM142.22, showing that most units are priced quite close to each other. A typical spread (IQR) of RM20.00 and an average deviation (MAD) of RM2 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.