Taman Pinji Mewah

31500 Lahat, Perak, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,600 sqft
Semi-D
RM570,000
Persiaran Zarib 11
3,595 sqft · RM159 PSF
RM500,000
Persiaran Zarib 9
3,595 sqft · RM139 PSF
RM498,000
Persiaran Zarib 11
3,595 sqft · RM139 PSF
RM400,000
Persiaran Zarib 9
3,595 sqft · RM111 PSF
RM410,000
Persiaran Zarib 11
3,595 sqft · RM114 PSF
RM410,000
Prsn Zarib 11
3,595 sqft · RM114 PSF
4,500 sqft
Semi-D
RM470,000
Persiaran Zarib 11
4,478 sqft · RM105 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM470,000

RM114 psf

Median transaction price

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Taman Pinji Mewah, 31500 Lahat, Perak, Malaysia

Maps

Taman Pinji Mewah in Kinta, Perak recorded 7 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM470K and a median price per square foot (PSF) of RM114.

This area contains both residential and commercial properties. View 83 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 RM470K, with most transactions falling within a stable range of RM412K to RM528K, and a typical market range of RM417K to RM523K.

Within the Double Storey Semi-D category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

The median PSF stands at RM114, with core pricing between RM96 and RM132. Market pricing typically extends from RM86.92 to RM141.17, reflecting moderate variation in unit pricing. The spread of RM54.25 (IQR) and deviation of RM18 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.