Taman Pantai Saujana

Perak, Manjung, Pengkalan Bharu

Property Transactions

17 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM480,000
3,757 sqft
RM128 PSF
RM438,000
2,992 sqft
RM146 PSF
RM438,000
2,992 sqft
RM146 PSF
RM438,000
3,068 sqft
RM143 PSF
RM438,000
2,992 sqft
RM146 PSF
RM438,000
3,068 sqft
RM143 PSF
RM400,000
4,510 sqft
RM89 PSF
RM350,000
3,197 sqft
RM109 PSF
RM690,000
3,897 sqft
RM177 PSF
RM360,000
3,197 sqft
RM113 PSF
RM500,000
3,165 sqft
RM158 PSF
RM500,000
3,165 sqft
RM158 PSF
RM498,000
3,197 sqft
RM156 PSF
RM494,000
3,197 sqft
RM155 PSF
RM500,000
3,197 sqft
RM156 PSF
RM499,000
3,197 sqft
RM156 PSF
RM780,000
2,691 sqft
RM290 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM499,000

RM156 psf

Median transaction price

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Taman Pantai Saujana, Manjung, Perak

Taman Pantai Saujana in Manjung, Perak recorded 17 subsale transactions between 2021 and 2026, with a median price of RM480K and a median price per square foot (PSF) of RM146.

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 RM480K, with most transactions falling within a stable range of RM438K to RM522K, and a typical market range of RM449K to RM511K.

Most transactions involved 2 - 2 1/2 storey semi-detached, with moderate diversity in property types available.

For price per square foot, the median is RM146, with most transactions between RM136 and RM156. The usual range is RM139.87 to RM152.87, showing that most units are priced quite close to each other. A typical spread (IQR) of RM13.00 and an average deviation (MAD) of RM10 indicate a highly stable PSF trend across properties.

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.