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
RM 110,000
PSF
RM 122
Price Size
600 sqft
Condo
RM 60,000
Level 2
623 sqft · RM 96 PSF
RM 70,000
Level G
603 sqft · RM 116 PSF
900 sqft
Condo
RM 120,000
Level 2
904 sqft · RM 133 PSF
RM 125,000
Level 5
904 sqft · RM 138 PSF
RM 125,000
Level G
904 sqft · RM 138 PSF
RM 110,000
Level 7
904 sqft · RM 122 PSF
1,050 sqft
Condo
RM 110,000
Level 4
1,055 sqft · RM 104 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 110,000

RM 122 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 RM 110K and a median price per square foot (PSF) of RM 122.

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 RM 110K, with most transactions falling within a stable range of RM 85K to RM 125K, and a typical market range of RM 83K to RM 125K.

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

The median PSF stands at RM 122, with core pricing between RM 106 and RM 137. Market pricing typically extends from RM 105.04 to RM 138.29, reflecting moderate variation in unit pricing. With an IQR of RM 33.25 and MAD of RM 15, 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.