Taman Lintang

Perak, Kuala Kangsar, Sungei Siput

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
LC House
RM160,000
Jalan Lintang 4
904 sqft · RM177 PSF
RM95,000
Jalan Lintang 5
904 sqft · RM105 PSF
RM130,000
Jalan Lintang 12
904 sqft · RM144 PSF
RM100,000
Taman Lintang
904 sqft · RM111 PSF
RM139,000
Jalan Lintang 12
1,345 sqft · RM103 PSF
RM193,000
Taman Lintang
1,345 sqft · RM143 PSF
1,950 sqft
2-Sty Shop
RM400,000
Taman Lintang
1,948 sqft · RM205 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Lintang? Homes here sold for a median of RM139,000.

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Market Snapshot

Residential

RM134,500

RM127 psf

Median transaction price

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Taman Lintang, Kuala Kangsar, Perak

Taman Lintang in Kuala Kangsar, Perak recorded 7 subsale transactions between 2021 and 2026, with a median price of RM139K and a median price per square foot (PSF) of RM143.

This area contains both residential and commercial properties. View 28 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM139K, with most transactions falling within a stable range of RM95K to RM236K, and a typical market range of RM112K to RM167K.

Most transactions involved low-cost house, though some variety exists in the market.

Price per square foot shows a median of RM143, though individual units vary from RM107 to RM180 in the core range. The broader market spans RM121.94 to RM164.94, indicating diverse property characteristics. A wider spread (IQR: RM43.00) and deviation (MAD: RM36) 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.