Coco Bay Beach Resort

Block C5, Cocobay Resort Condominium, Batu 9, Jalan Pantai, Teluk Kemang, 71050 Port Dickson, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM110,000
PSF
RM122
Price Size
Period
transactions middle 50% (P25–P75)
600 sqft
Condo
RM60,000
Level 2
623 sqft · RM96 PSF
RM70,000
Level G
603 sqft · RM116 PSF
900 sqft
Condo
RM120,000
Level 2
904 sqft · RM133 PSF
RM125,000
Level 5
904 sqft · RM138 PSF
RM125,000
Level G
904 sqft · RM138 PSF
RM110,000
Level 7
904 sqft · RM122 PSF
1,050 sqft
Condo
RM110,000
Level 4
1,055 sqft · RM104 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM110,000

RM122 psf

Median transaction price

Coco Bay Beach Resort
© OpenStreetMap · CARTO

Block C5, Cocobay Resort Condominium, Batu 9, Jalan Pantai, Teluk Kemang, 71050 Port Dickson, Negeri Sembilan, Malaysia

Maps

Coco Bay Beach Resort in Port Dickson, Negeri Sembilan recorded 7 subsale transactions in 2022, with a median price of RM110K and a median price per square foot (PSF) of RM122.

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 RM110K, with most transactions falling within a stable range of RM85K to RM125K, and a typical market range of RM83K to RM125K.

Most transactions involved condominium/apartment, with minimal variety in property types.

The median PSF stands at RM122, with core pricing between RM106 and RM137. Market pricing typically extends from RM105.04 to RM138.29, reflecting moderate variation in unit pricing. With an IQR of RM33.25 and MAD of RM15, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.