Taman Lim, Ipoh

TAMAN LIM, IPOH, Kampung Chan Thye Lee, Ipoh Utara, 30670, Kinta, Perak, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
4,150 sqft
Bungalow
RM250,000
Jalan Mohanlal
4,165 sqft · RM60 PSF
5,000 sqft
Bungalow
RM600,000
Jalan Muhibbah
5,000 sqft · RM120 PSF
7,200 sqft
Bungalow
RM650,000
Jalan Goh Yin Foo
7,201 sqft · RM90 PSF
9,450 sqft
Bungalow
RM1,150,000
Jalan Kam Teik Sean
9,433 sqft · RM122 PSF
19,750 sqft
Bungalow
RM1,450,000
Jalan Hassan
19,763 sqft · RM73 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM650,000

RM90 psf

Median transaction price

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TAMAN LIM, IPOH, Kampung Chan Thye Lee, Ipoh Utara, 30670, Kinta, Perak, Malaysia

Taman Lim, Ipoh in Kinta, Perak recorded 5 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM650K and a median price per square foot (PSF) of RM90.

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 RM650K, with most transactions falling within a stable range of RM250K to RM1.08 million, and a typical market range of RM555K to RM745K.

Within the Bungalow category, 1 - 1 1/2 storey semi-detached dominated the market, with moderate diversity in property types available.

Price per square foot shows a median of RM90, though individual units vary from RM66 to RM115 in the core range. The broader market spans RM70.40 to RM110.15, indicating diverse property characteristics. A wider spread (IQR: RM39.75) and deviation (MAD: RM25) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.