Bayu Sutera - Precinct 2B

71960 Port Dickson, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM827,000
PSF
RM388
Price Size
Period
transactions middle 50% (P25–P75)
1,850 sqft
2-Sty Terrace
RM565,000
Jalan Bayu Sutera 2/6
1,830 sqft · RM309 PSF
2,000 sqft
2-Sty Terrace
RM689,000
Jalan Bayu Sutera 2/3
1,991 sqft · RM346 PSF
RM827,000
Jalan Bayu Sutera 2/3
1,991 sqft · RM415 PSF
2,150 sqft
2-Sty Terrace
RM827,000
Jalan Bayu Sutera 2/3
2,131 sqft · RM388 PSF
RM827,000
Jalan Bayu Sutera 2/3
2,131 sqft · RM388 PSF
RM689,000
Jalan Bayu Sutera 2/3
2,131 sqft · RM323 PSF
RM850,000
Jalan Bayu Sutera 2/3
2,131 sqft · RM399 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM827,000

RM388 psf

Median transaction price

Bayu Sutera - Precinct 2B
© OpenStreetMap · CARTO

71960 Port Dickson, Negeri Sembilan, Malaysia

Maps

Bayu Sutera - Precinct 2B in Port Dickson, Negeri Sembilan recorded 7 subsale transactions in 2024, with a median price of RM827K and a median price per square foot (PSF) of RM388.

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 RM827K, with most transactions falling within a stable range of RM727K to RM850K, and a typical market range of RM696K to RM850K.

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

For price per square foot, the median is RM388, with most transactions between RM350 and RM426. The usual range is RM368.67 to RM407.42, showing that most units are priced quite close to each other. A typical spread (IQR) of RM38.75 and an average deviation (MAD) of RM38 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.