Bandar Sri Pengkalan

31550 Pusing, Perak, Malaysia

Property Transactions

8 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM300,000
Laluan Sri Pengkalan 7
2,476 sqft RM121 PSF
RM320,000
Laluan Sri Pengkalan 7
2,476 sqft RM129 PSF
RM360,000
Laluan Sri Pengkalan 5
2,476 sqft RM145 PSF
RM350,000
Laluan Sri Pengkalan 3
2,476 sqft RM141 PSF
RM350,000
Laluan Sri Pengkalan 7
2,476 sqft RM141 PSF
RM350,000
Laluan Sri Pengkalan 1
2,476 sqft RM141 PSF
RM333,000
Laluan Sri Pengkalan 3
2,476 sqft RM135 PSF
RM288,000
Laluan Sri Pengkalan 9
2,476 sqft RM116 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM159,000

RM133 psf

Median transaction price

RM341,500

RM138 psf

Median transaction price

Bandar Sri Pengkalan
© OpenStreetMap · CARTO

BANDAR SRI PENGKALAN, 31550 Pusing, Perak, Malaysia

Maps

Bandar Sri Pengkalan in Kinta, Perak recorded 8 subsale transactions between 2021 and 2026, sized between 2,475 and 2,524 sqft, with a median price of RM342K and a median price per square foot (PSF) of RM138.

This area contains both residential and commercial properties. View 18 residential properties or 51 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM342K, with most transactions falling within a stable range of RM317K to RM360K, and a typical market range of RM288K to RM360K.

Most transactions involved semi-detached factory/warehouse, with moderate diversity in property types available.

For price per square foot, the median is RM138, with most transactions between RM128 and RM148. The usual range is RM126.94 to RM148.94, showing that most units are priced quite close to each other. A typical spread (IQR) of RM22.00 and an average deviation (MAD) of RM10 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.