Damai Laut Country Resort

Perak, Manjung, Lumut

Property Transactions

5 subsales grouped by size

Median
RM100,000
PSF
RM182
Price Size
Period
transactions middle 50% (P25–P75)
550 sqft
Condo
RM100,000
Level 1
560 sqft · RM179 PSF
RM100,000
Level 2
549 sqft · RM182 PSF
RM98,000
Level 2
549 sqft · RM179 PSF
RM120,000
Level 3
549 sqft · RM219 PSF
750 sqft
Condo
RM145,000
Level 3
753 sqft · RM192 PSF
Legend Recent Highest Price Highest PSF

Selling in Damai Laut Country Resort? Homes here sold for a median of RM100,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Damai Laut Country Resort

What’s happening in Damai Laut Country Resort?

No posts about Damai Laut Country Resort yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM100,000

RM182 psf

Median transaction price

Damai Laut Country Resort in Manjung, Perak recorded 5 subsale transactions between 2021 and 2026, with a median price of RM100K and a median price per square foot (PSF) of RM182.

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 RM100K, with most transactions falling within a stable range of RM98K to RM118K, and a typical market range of RM98K to RM120K.

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

For price per square foot, the median is RM182, with most transactions between RM167 and RM197. The usual range is RM175.91 to RM188.41, showing that most units are priced quite close to each other. A typical spread (IQR) of RM12.50 and an average deviation (MAD) of RM15 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.