Taman Tekah Permai

Perak, Larut Matang, Asam Kumbang

Property Transactions

9 subsales grouped by size · Terrace →

Median
RM 268,000
PSF
RM 182
Price Size
1,200 sqft
Terrace
RM 255,000
Jalan Tekah Permai 3
1,195 sqft · RM 213 PSF
RM 230,000
Jalan Tekah Permai 5
1,195 sqft · RM 193 PSF
1,400 sqft
Terrace
RM 255,000
Lorong Permai 25
1,399 sqft · RM 182 PSF
RM 255,000
Lorong Permai 27
1,399 sqft · RM 182 PSF
RM 280,000
Lorong Permai 26
1,399 sqft · RM 200 PSF
RM 268,000
Jalan Permai 2.
1,399 sqft · RM 192 PSF
2,300 sqft
Terrace
RM 350,000
Lorong Tp 4
2,293 sqft · RM 153 PSF
2,350 sqft
2-Sty Terrace
RM 418,000
Lorong Permai 34
2,368 sqft · RM 177 PSF
RM 420,000
Lorong Permai 34
2,368 sqft · RM 177 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 268,000

RM 182 psf

Median transaction price

Taman Tekah Permai in Larut Matang, Perak recorded 9 subsale transactions between 2021 and 2026, with a median price of RM 268K and a median price per square foot (PSF) of RM 182.

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 RM 268K, with most transactions falling within a stable range of RM 230K to RM 337K, and a typical market range of RM 230K to RM 333K.

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

For price per square foot, the median is RM 182, with most transactions between RM 166 and RM 198. The usual range is RM 164.73 to RM 199.73, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 35.00 and an average deviation (MAD) of RM 16 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.