Taman Desa Impian

Perak, Kinta, Ulu Kinta

Property Transactions

6 subsales grouped by size

Median
RM170,000
PSF
RM142
Period
transactions middle 50% (P25–P75)
1,200 sqft
LC House
RM180,000
Lebuh Bercham Selatan 1/3
1,195 sqft · RM151 PSF
RM170,000
Lebuh Bercham Selatan 2/1
1,195 sqft · RM142 PSF
RM150,000
Lebuh Bercham Selatan 1/2
1,195 sqft · RM126 PSF
RM170,000
Lebuh Bercham Selatan 2/4
1,195 sqft · RM142 PSF
1,800 sqft
LC House
RM170,000
Lebuh Bercham (S) 1/2
1,798 sqft · RM95 PSF
2,500 sqft
LC House
RM260,000
Lebuh Bercham (S) 2/4
2,508 sqft · RM104 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM170,000

RM134 psf

Median transaction price

Low

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Taman Desa Impian
© OpenStreetMap · CARTO

Taman Desa Impian, Kinta, Perak

Taman Desa Impian in Kinta, Perak recorded 6 subsale transactions between 2021 and 2026, with a median price of RM170K and a median price per square foot (PSF) of RM142.

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 RM170K, with most transactions falling within a stable range of RM165K to RM175K, and a typical market range of RM166K to RM174K.

Most transactions involved low-cost house, with minimal variety in property types.

For price per square foot, the median is RM142, with most transactions between RM130 and RM155. The usual range is RM126.03 to RM158.53, showing that most units are priced quite close to each other. A typical spread (IQR) of RM32.50 and an average deviation (MAD) of RM13 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.