Taman Padu Permai

45400 Sungai Besar, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
2-Sty Terrace
RM490,000
Jalan Pp 1/5
1,399 sqft · RM350 PSF
1,500 sqft
Terrace
RM285,000
Jalan Pp 2/3
1,496 sqft · RM190 PSF
1,600 sqft
Terrace
RM300,000
Jalan Pp 2/1
1,604 sqft · RM187 PSF
RM300,000
Jalan Pp 2/2
1,604 sqft · RM187 PSF
2,650 sqft
2-Sty Shop
RM650,000
Jalan Pp 1/2
2,626 sqft · RM247 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM300,000

RM189 psf

Median transaction price

Taman Padu Permai
© OpenStreetMap · CARTO

Taman Padu Permai, 45400 Sungai Besar, Selangor, Malaysia

Maps

Taman Padu Permai in Sabak Bernam, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM190.

This area contains both residential and commercial properties. View 10 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 RM300K, with most transactions falling within a stable range of RM285K to RM444K, and a typical market range of RM285K to RM431K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM190, though individual units vary from RM127 to RM253 in the core range. The broader market spans RM153.63 to RM226.38, indicating diverse property characteristics. A wider spread (IQR: RM72.75) and deviation (MAD: RM63) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.