Taman Manjung Point Sek Ii

Perak, Manjung, Lumut

Property Transactions

5 subsales grouped by size

Median
RM 1,000,000
PSF
RM 378
Price Size
Period
transactions middle 50% (P25–P75)
2,650 sqft
2-Sty Shop
RM 1,000,000
Jalan Ppmp 9
2,648 sqft · RM 378 PSF
RM 1,000,000
Jalan Ppmp 7
2,648 sqft · RM 378 PSF
RM 1,000,000
Jalan Ppmp 7
2,648 sqft · RM 378 PSF
RM 1,149,000
Jalan Ppmp 9
2,648 sqft · RM 434 PSF
3,950 sqft
2-Sty Shop
RM 900,000
Jalan Ppmp 7
3,929 sqft · RM 229 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 270,000

RM 189 psf

Median transaction price

RM 1,000,000

RM 378 psf

Median transaction price

Taman Manjung Point Sek Ii in Manjung, Perak recorded 5 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM 1.00 million and a median price per square foot (PSF) of RM 378.

This area contains both residential and commercial properties. View 26 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.00 million, with most transactions falling within a stable range of RM 920K to RM 1.08 million, and a typical market range of RM 950K to RM 1.05 million.

Within the Double Storey Shop category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.

The median PSF stands at RM 378, with core pricing between RM 309 and RM 446. Market pricing typically extends from RM 343.15 to RM 412.15, reflecting moderate variation in unit pricing. The spread of RM 69.00 (IQR) and deviation of RM 69 (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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.