No Transactions Found
We couldn't find any transactions matching your current filters in Taman Seri Rapat.
Clear All FiltersNo transactions match these filters. Widen the price, size or date range to see more.
Selling in Taman Seri Rapat? Homes here sold for a median of RM240,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Taman Seri Rapat
No posts about Taman Seri Rapat yet. Be the first to share what’s happening here.
Nearby areas in Ulu Kinta
Marketplace listings
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
Market Snapshot
ResidentialRM230,000
RM169 psfMedian transaction price
TAMAN SERI RAPAT, 昆仑喇叭, Ulu Kinta, 31350, Kinta, Perak, Malaysia
Taman Seri Rapat in Kinta, Perak recorded 0 subsale transactions in 2026, with a median price of RM240K and a median price per square foot (PSF) of RM161.
This area contains both residential and commercial properties. View 33 residential properties or 6 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM240K, with most transactions falling within a stable range of RM200K to RM280K, and a typical market range of RM188K to RM293K.
Most transactions involved low-cost house, with high diversity across multiple property types.
The median PSF stands at RM161, with core pricing between RM138 and RM184. Market pricing typically extends from RM143.75 to RM178.25, reflecting moderate variation in unit pricing. With an IQR of RM34.50 and MAD of RM23, the PSF demonstrates reasonable consistency across the market.
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.