Taman Desa Rishah

Perak, Kinta, Ulu Kinta

Property Transactions

9 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM373,000
Persiaran Desa Rishah 4
1,711 sqft RM218 PSF
RM370,000
Persiaran Desa Rishah 9
1,733 sqft RM214 PSF
RM550,000
Lengkok Desa Rishah 1
2,626 sqft RM209 PSF
RM850,000
Lengkok Desa Rishah 1
3,003 sqft RM283 PSF
RM300,000
Persiaran Desa Rishah 1
1,711 sqft RM175 PSF
RM420,000
Prsn Desa Rishah 1
2,648 sqft RM159 PSF
RM350,000
Lengkok Desa Rishah 5
1,733 sqft RM202 PSF
RM259,000
Persiaran Desa Rishah 4
1,539 sqft RM168 PSF
RM550,000
Persiaran Desa Rishah 1
2,928 sqft RM188 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM350,000

RM202 psf

Median transaction price

RM550,000

RM199 psf

Median transaction price

Taman Desa Rishah in Kinta, Perak recorded 9 subsale transactions in 2022, with a median price of RM373K and a median price per square foot (PSF) of RM202.

This area contains both residential and commercial properties. View 24 residential properties or 12 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM373K, with most transactions falling within a stable range of RM259K to RM544K, and a typical market range of RM306K to RM440K.

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

The median PSF stands at RM202, with core pricing between RM167 and RM237. Market pricing typically extends from RM143.09 to RM260.84, reflecting moderate variation in unit pricing. The spread of RM117.75 (IQR) and deviation of RM35 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.