Bayu Sutera - Precint 4A

71960 Port Dickson, Negeri Sembilan, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM674,000
PSF
RM482
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
2-Sty Terrace
RM674,000
Persiaran Sendayan Bayu
1,399 sqft · RM482 PSF
RM639,000
Persiaran Sendayan Bayu
1,399 sqft · RM457 PSF
RM674,000
Persiaran Sendayan Bayu
1,399 sqft · RM482 PSF
RM654,000
Persiaran Sendayan Bayu
1,399 sqft · RM467 PSF
1,900 sqft
2-Sty Terrace
RM948,000
Persiaran Sendayan Bayu
1,884 sqft · RM503 PSF
Legend Recent Highest Price Highest PSF

Selling in Bayu Sutera - Precint 4A? Homes here sold for a median of RM674,000.

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Market Snapshot

Residential

RM674,000

RM482 psf

Median transaction price

Bayu Sutera - Precint 4A
© OpenStreetMap · CARTO

71960 Port Dickson, Negeri Sembilan, Malaysia

Maps

Bayu Sutera - Precint 4A in Port Dickson, Negeri Sembilan recorded 5 subsale transactions between 2021 and 2026, with a median price of RM674K and a median price per square foot (PSF) of RM482.

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 RM674K, with most transactions falling within a stable range of RM639K to RM790K, and a typical market range of RM662K to RM687K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM482, with most transactions between RM466 and RM497. The usual range is RM476.67 to RM486.67, showing that most units are priced quite close to each other. A typical spread (IQR) of RM10.00 and an average deviation (MAD) of RM16 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.