Jalan Thompson / Jalan Tun Dr Ismail

Perak, Kinta, Ipoh Selatan

Property Transactions

6 subsales grouped by size · Bungalow →

Period
transactions middle 50% (P25–P75)
3,200 sqft
Semi-D
RM900,000
Jalan Flora 1 (Taman Impiana Flora)
3,175 sqft · RM283 PSF
4,950 sqft
Semi-D
RM1,600,000
Lorong Tun Dr Ismail
4,962 sqft · RM322 PSF
18,200 sqft
Bungalow
RM850,000
Lorong Pinji
18,213 sqft · RM47 PSF
18,800 sqft
Bungalow
RM3,450,000
Lorong Rani
18,783 sqft · RM184 PSF
20,150 sqft
Bungalow
RM2,400,000
Lorong Tun Dr Ismail
20,146 sqft · RM119 PSF
26,500 sqft
Bungalow
RM3,000,000
Jalan Oh Cheng Keat
26,517 sqft · RM113 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM2,000,000

RM152 psf

Median transaction price

Jalan Thompson / Jalan Tun Dr Ismail in Kinta, Perak recorded 6 subsale transactions between 2021 and 2026, with a median price of RM2.00 million and a median price per square foot (PSF) of RM184.

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 RM2.00 million, with most transactions falling within a stable range of RM950K to RM3.05 million, and a typical market range of RM1.11 million to RM2.89 million.

Most transactions involved detached, though some variety exists in the market.

Price per square foot shows a median of RM184, though individual units vary from RM112 to RM255 in the core range. The broader market spans RM111.81 to RM255.56, indicating diverse property characteristics. A wider spread (IQR: RM143.75) and deviation (MAD: RM72) indicate significant PSF variations, likely due to diverse property types or conditions.

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.