Taman Kemiri

Perak, Kuala Kangsar, Sungei Siput

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
1-Sty Shop
RM305,000
Jalan Kemiri 1
1,119 sqft · RM272 PSF
1,300 sqft
Terrace
RM240,000
Lorong Kemiri 2
1,302 sqft · RM184 PSF
1,400 sqft
Terrace
RM238,000
Off Jalan Sungai Siput - Kuala Kangsar
1,399 sqft · RM170 PSF
RM180,000
Lorong 6
1,399 sqft · RM129 PSF
RM180,000
Jalan Kemiri 8
1,399 sqft · RM129 PSF
RM195,000
Jalan Kemiri 5
1,399 sqft · RM139 PSF
2,100 sqft
Terrace
RM290,000
Jalan Kemiri 10
2,099 sqft · RM138 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM216,500

RM139 psf

Median transaction price

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Taman Kemiri, Kuala Kangsar, Perak

Taman Kemiri in Kuala Kangsar, Perak recorded 7 subsale transactions between 2021 and 2026, with a median price of RM238K and a median price per square foot (PSF) of RM139.

This area contains both residential and commercial properties. View 11 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM238K, with most transactions falling within a stable range of RM191K to RM285K, and a typical market range of RM183K to RM293K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM139, though individual units vary from RM92 to RM187 in the core range. The broader market spans RM118.85 to RM159.85, indicating diverse property characteristics. A wider spread (IQR: RM41.00) and deviation (MAD: RM48) 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.