Taman Koperasi Chepor Damai

Perak, Kinta, Ulu Kinta

Property Transactions

6 subsales grouped by size · Terrace →

Median
RM 195,000
PSF
RM 155
Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
1-Sty Shop
RM 190,000
Laluan Chepor Damai 8
893 sqft · RM 213 PSF
1,200 sqft
LC House
RM 160,000
Laluan Chepor Damai 11
1,195 sqft · RM 134 PSF
1,300 sqft
Terrace
RM 230,000
Laluan Chepor Damai 6
1,302 sqft · RM 177 PSF
RM 168,000
Laluan Chepor Damai 7
1,302 sqft · RM 129 PSF
RM 240,000
Laluan Chepor Damai 6
1,302 sqft · RM 184 PSF
1,550 sqft
Terrace
RM 200,000
Laluan Chepor Damai 10
1,539 sqft · RM 130 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 200,000

RM 134 psf

Median transaction price

Taman Koperasi Chepor Damai in Kinta, Perak recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 195K and a median price per square foot (PSF) of RM 155.

This area contains both residential and commercial properties. View 9 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 195K, with most transactions falling within a stable range of RM 166K to RM 224K, and a typical market range of RM 171K to RM 219K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM 155, though individual units vary from RM 123 to RM 187 in the core range. The broader market spans RM 130.00 to RM 180.50, indicating diverse property characteristics. The spread of RM 50.50 (IQR) and deviation of RM 32 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.