Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM75,000
|
RM116
|
646 sqft
|
|
|
|
Level 4
|
RM65,000
|
RM101
|
646 sqft
|
|
|
Laluan Tawas Damai 11
|
RM300,000
|
RM191
|
1,572 sqft
|
|
|
|
Laluan Tawas Damai 9
|
RM310,000
|
RM197
|
1,572 sqft
|
|
|
Laluan Tawas Damai 2A
|
RM698,000
|
RM186
|
3,746 sqft
|
|
|
|
Laluan Tawas Damai 3
|
RM700,000
|
RM187
|
3,746 sqft
|
|
|
|
Laluan Tawas Damai 2A
|
RM670,000
|
RM179
|
3,746 sqft
|
|
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Taman Anjung Tawas Damai
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 Ulu Kinta
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Market Snapshot
RM75,000
RM116 psfMedian transaction price
RM698,000
RM186 psfMedian transaction price
Taman Anjung Tawas Damai in Kinta, Perak recorded 8 subsale transactions in 2022, with a median price of RM305K and a median price per square foot (PSF) of RM183.
This area contains both residential and commercial properties. View 9 residential properties or 10 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM305K, with most transactions falling within a stable range of RM65K to RM575K, and a typical market range of RM221K to RM389K.
Most transactions involved 2 - 2 1/2 storey shop, with high diversity across multiple property types.
Price per square foot shows a median of RM183, though individual units vary from RM145 to RM221 in the core range. The broader market spans RM164.35 to RM200.85, indicating diverse property characteristics. The spread of RM36.50 (IQR) and deviation of RM38 (MAD) suggest moderate price variations reflecting different property features.
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.