Taman Anjung Tawas Damai

Perak, Kinta, Ulu Kinta

Property Transactions

6 subsales grouped by size

Median
RM 309,000
PSF
RM 117
Price Size
1,550 sqft
2-Sty Terrace
RM 330,000
Laluan Tawas Damai 9
1,572 sqft · RM 210 PSF
2,550 sqft
2-Sty Shop
RM 530,000
Laluan Tawas Damai 1
2,551 sqft · RM 208 PSF
2,650 sqft
2-Sty Shop
RM 298,000
Laluan Tawas Damai 3
2,648 sqft · RM 113 PSF
RM 280,000
Laluan Tawas Damai 4
2,648 sqft · RM 106 PSF
RM 275,000
Laluan Tawas Damai 6
2,648 sqft · RM 104 PSF
RM 320,000
Laluan Tawas Damai 4
2,648 sqft · RM 121 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 330,000

RM 210 psf

Median transaction price

RM 298,000

RM 113 psf

Median transaction price

Taman Anjung Tawas Damai in Kinta, Perak recorded 6 subsale transactions in 2024, with a median price of RM 309K and a median price per square foot (PSF) of RM 117.

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 RM 309K, with most transactions falling within a stable range of RM 275K to RM 397K, and a typical market range of RM 275K to RM 393K.

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

Price per square foot shows a median of RM 117, though individual units vary from RM 70 to RM 163 in the core range. The broader market spans RM 98.45 to RM 134.95, indicating diverse property characteristics. A wider spread (IQR: RM 36.50) and deviation (MAD: RM 47) 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.