Taman Desa Manjung

Taman Desa Permai, Lumut, 32000, Manjung, Perak, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 496,000
PSF
RM 239
Price Size
Period
transactions middle 50% (P25–P75)
1,800 sqft
Cluster
RM 500,000
Lorong Desa Manjung 1
1,798 sqft · RM 278 PSF
RM 430,000
Jalan Desa Manjung 3
1,798 sqft · RM 239 PSF
2,100 sqft
Semi-D
RM 496,000
Jalan Desa Manjung 2
2,099 sqft · RM 236 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

1 auction properties in Taman Desa Manjung

No. 74, Jalan Desa Manjung 2, Taman Desa Manjung, 32040, Seri Manjung, Perak
Type Reserve Price Semi-Detached RM 430,000
PSF Size Auction Date RM 204.86 2,099 sqft 30 Jul 2026

Market Snapshot

Residential

RM 496,000

RM 239 psf

Median transaction price

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TAMAN DESA MANJUNG, Taman Desa Permai, Lumut, 32000, Manjung, Perak, Malaysia

Taman Desa Manjung in Manjung, Perak recorded 3 subsale transactions in 2025, with a median price of RM 496K and a median price per square foot (PSF) of RM 239.

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 496K, with most transactions falling within a stable range of RM 464K to RM 500K, and a typical market range of RM 459K to RM 500K.

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

For price per square foot, the median is RM 239, with most transactions between RM 220 and RM 258. The usual range is RM 237.09 to RM 241.34, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 4.25 and an average deviation (MAD) of RM 19 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.