Taman Kuala Kangsar

Perak, Kuala Kangsar, Kota Lama Kiri

Property Transactions

9 subsales grouped by size

Period
transactions middle 50% (P25–P75)
RM220,000
Jalan Taman Kuala Kangsar
1,539 sqft · RM143 PSF
RM218,000
Laluan Meranti 7
1,539 sqft · RM142 PSF
RM185,000
Taman Kuala Kangsar
1,539 sqft · RM120 PSF
RM200,000
Laluan Meranti 6
1,539 sqft · RM130 PSF
RM180,000
Laluan Meranti 8
1,539 sqft · RM117 PSF
2,800 sqft
Semi-D
RM319,000
Laluan Meranti
2,799 sqft · RM114 PSF
3,250 sqft
Semi-D
RM367,000
Laluan Meranti 18
3,272 sqft · RM112 PSF
3,400 sqft
Semi-D
RM314,000
Laluan Meranti 18
3,401 sqft · RM92 PSF
4,100 sqft
Semi-D
RM432,000
Jalan Taman Kuala Kangsar
4,090 sqft · RM106 PSF
Legend Recent Highest Price Highest PSF

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Taman Kuala Kangsar
© OpenStreetMap · CARTO

Taman Kuala Kangsar, Kuala Kangsar, Perak

Taman Kuala Kangsar in Kuala Kangsar, Perak recorded 9 subsale transactions between 2021 and 2026, with a median price of RM220K and a median price per square foot (PSF) of RM117.

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 RM220K, with most transactions falling within a stable range of RM180K to RM260K, and a typical market range of RM180K to RM280K.

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

For price per square foot, the median is RM117, with most transactions between RM106 and RM128. The usual range is RM107.94 to RM125.94, showing that most units are priced quite close to each other. A typical spread (IQR) of RM18.00 and an average deviation (MAD) of RM11 indicate a highly stable PSF trend across properties.

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.