Taman Pinji Seni

Perak, Kinta, Ipoh Selatan

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,700 sqft
2-Sty Terrace
RM460,000
Laluan Pinji Seni 2
1,711 sqft · RM269 PSF
RM308,000
Laluan Pinji Seni 6
1,711 sqft · RM180 PSF
RM318,000
Laluan Pinji Seni 6
1,711 sqft · RM186 PSF
RM400,000
Laluan Pinji Seni 2
1,711 sqft · RM234 PSF
RM435,000
Laluan Pinji Seni 3
1,711 sqft · RM254 PSF
RM330,000
Laluan Pinji Seni 3
1,711 sqft · RM193 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM365,000

RM213 psf

Median transaction price

Taman Pinji Seni
© OpenStreetMap · CARTO

Taman Pinji Seni, Kinta, Perak

Taman Pinji Seni in Kinta, Perak recorded 6 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM365K and a median price per square foot (PSF) of RM213.

This area contains both residential and commercial properties. View 7 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 RM365K, with most transactions falling within a stable range of RM308K to RM424K, and a typical market range of RM308K to RM436K.

Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.

The median PSF stands at RM213, with core pricing between RM179 and RM248. Market pricing typically extends from RM154.27 to RM272.27, reflecting moderate variation in unit pricing. The spread of RM118.00 (IQR) and deviation of RM35 (MAD) suggest moderate price variations reflecting different property features.

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.