Desa Manjung Point 2

Perak, Manjung, Lumut

Property Transactions

8 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM270,000
Persiaran Desa Manjung 2/18
1,399 sqft · RM193 PSF
RM270,000
Prsn Desa Manjung 2/10
1,399 sqft · RM193 PSF
RM260,000
Prsn Desa Manjung 2/3
1,399 sqft · RM186 PSF
RM270,000
Persiaran Desa Manjung 2/3
1,399 sqft · RM193 PSF
RM270,000
Persiaran Desa Manjung 2/18
1,399 sqft · RM193 PSF
1,500 sqft
Terrace
RM285,000
Persiaran Desa Manjung 2/20
1,496 sqft · RM190 PSF
2,800 sqft
Semi-D
RM370,000
Persiaran Desa Manjung Point 2/7
2,799 sqft · RM132 PSF
4,000 sqft
Bungalow
RM470,000
Pesiaran Desa Manjung 9
4,004 sqft · RM117 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM270,000

RM192 psf

Median transaction price

Desa Manjung Point 2
© OpenStreetMap · CARTO

Desa Manjung Point 2, Manjung, Perak

Desa Manjung Point 2 in Manjung, Perak recorded 8 subsale transactions in 2022, with a median price of RM270K and a median price per square foot (PSF) of RM192.

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 RM270K, with most transactions falling within a stable range of RM260K to RM340K, and a typical market range of RM260K to RM290K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM192, with core pricing between RM163 and RM221. Market pricing typically extends from RM177.72 to RM205.72, reflecting moderate variation in unit pricing. The spread of RM28.00 (IQR) and deviation of RM29 (MAD) suggest moderate price variations reflecting different property features.

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.