Taman Sri Dermawan

Medan Ipoh, Ulu Kinta, 31400, Kinta, Perak, Malaysia

Property Transactions

2 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM300,000
Lorong Tasek (T) 2
1,367 sqft RM219 PSF
RM250,000
Lorong Tasek (T) 2
1,367 sqft RM183 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sri Dermawan? Homes here sold for a median of RM275,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Taman Sri Dermawan

What’s happening in Taman Sri Dermawan?

No posts about Taman Sri Dermawan yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM275,000

RM201 psf

Median transaction price

Loading map...

TAMAN SRI DERMAWAN, Medan Ipoh, Ulu Kinta, 31400, Kinta, Perak, Malaysia

Taman Sri Dermawan in Kinta, Perak recorded 2 subsale transactions between 2021 and 2026, sized between 1,325 and 1,374 sqft, with a median price of RM275K and a median price per square foot (PSF) of RM201.

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 RM275K, with most transactions falling within a stable range of RM250K to RM300K, and a typical market range of RM250K to RM300K.

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

For price per square foot, the median is RM201, with most transactions between RM183 and RM219. The usual range is RM125.67 to RM276.67, showing that most units are priced quite close to each other. With an IQR of RM151.00 and MAD of RM18, 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.