Taman Lintang Makmur

Perak, Kuala Kangsar, Sungei Siput

Property Transactions

16 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
RM180,000
Persiaran Lintang Makmur 11
1,647 sqft · RM109 PSF
RM255,000
Prsn Lintang Makmur 13
1,647 sqft · RM155 PSF
RM320,000
Persiaran Lintang Makmur 6
1,658 sqft · RM193 PSF
RM350,000
Persiaran Lintang Makmur 7
1,658 sqft · RM211 PSF
RM420,000
Persiaran Lintang Makmur 1
1,658 sqft · RM253 PSF
RM230,000
Prsn Lintang Makmur 12
1,647 sqft · RM140 PSF
+10 more
Legend Recent Highest Price Highest PSF

Selling in Taman Lintang Makmur? Homes here sold for a median of RM228,000.

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Market Snapshot

Residential

RM228,000

RM138 psf

Median transaction price

Taman Lintang Makmur in Kuala Kangsar, Perak recorded 16 subsale transactions between 2021 and 2026, sized between 1,625 and 1,674 sqft, with a median price of RM228K and a median price per square foot (PSF) of RM138.

This area contains both residential and commercial properties. View 28 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM228K, with most transactions falling within a stable range of RM160K to RM296K, and a typical market range of RM160K to RM306K.

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

Price per square foot shows a median of RM138, though individual units vary from RM98 to RM179 in the core range. The broader market spans RM114.69 to RM162.19, indicating diverse property characteristics. A wider spread (IQR: RM47.50) and deviation (MAD: RM41) 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.