| LIST.MY · Taman Spring | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan Spring 3
|
RM980,000
|
RM163
|
6,027 sqft
|
|
Bungalow |
| 2024 | |||||
|
Spring Garden
|
RM1,300,000
|
RM216
|
6,022 sqft
|
|
Bungalow |
|
Jalan Spring 4
|
RM560,000
|
RM156
|
3,591 sqft
|
|
Semi-D |
| 2023 | |||||
|
Jalan Lereh 3
|
RM1,026,000
|
RM159
|
6,465 sqft
|
|
Bungalow |
|
Jalan Spring 2
|
RM420,000
|
RM154
|
2,725 sqft
|
|
Semi-D |
| 2022 | |||||
|
Jalan Spring 3
|
RM310,000
|
RM80
|
3,884 sqft
|
|
Semi-D |
|
Jalan Spring 3
|
RM980,000
|
RM163
|
6,027 sqft
|
|
Bungalow |
Selling in Taman Spring? Homes here sold for a median of RM980,000.
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PSF median price per sq ft · 12m its change over the past 12 months
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Taman Spring Garden, Kampung Tanjong Keling, 76400 Tanjung Kling, Malacca, Malaysia
MapsTaman Spring in Melaka Tengah, Melaka recorded 7 subsale transactions between 2021 and 2026, with a median price of RM980K and a median price per square foot (PSF) of RM159.
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 RM980K, with most transactions falling within a stable range of RM660K to RM1.30 million, and a typical market range of RM724K to RM1.24 million.
Most transactions involved detached, though some variety exists in the market.
For price per square foot, the median is RM159, with most transactions between RM155 and RM163. The usual range is RM154.71 to RM162.71, showing that most units are priced quite close to each other. A typical spread (IQR) of RM8.00 and an average deviation (MAD) of RM4 indicate a highly stable PSF trend across properties.
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.