Taman Manjung Point Iv

Perak, Manjung, Lumut

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,500 sqft
Terrace
RM295,000
Jalan Manjung Point 4/6
1,496 sqft · RM197 PSF
1,650 sqft
2-Sty Terrace
RM420,000
Jalan Manjung Point 4/3
1,636 sqft · RM257 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Manjung Point Iv? Homes here sold for a median of RM357,500.

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

List your property free

Posts about Taman Manjung Point Iv

What’s happening in Taman Manjung Point Iv?

No posts about Taman Manjung Point Iv yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM357,500

RM227 psf

Median transaction price

Loading map...

Taman Manjung Point Iv, Manjung, Perak

Taman Manjung Point Iv in Manjung, Perak recorded 2 subsale transactions between 2021 and 2026, with a median price of RM358K and a median price per square foot (PSF) of RM227.

This area contains both residential and commercial properties. View 18 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM358K, with most transactions falling within a stable range of RM295K to RM420K, and a typical market range of RM298K to RM417K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM227, with core pricing between RM197 and RM257. Market pricing typically extends from RM187.13 to RM266.88, reflecting moderate variation in unit pricing. With an IQR of RM79.75 and MAD of RM30, the PSF demonstrates reasonable consistency across the market.

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.