Taman Segari Maju

Segari, Manjung, Perak, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM295,000
PSF
RM147
Period
transactions middle 50% (P25–P75)
2,050 sqft
2-Sty Terrace
RM290,000
Lorong Segari Maju 3
2,045 sqft · RM142 PSF
RM300,000
Lorong Segari Maju 3
2,045 sqft · RM147 PSF
RM376,000
Lorong Segari Maju 3
2,045 sqft · RM184 PSF
2,550 sqft
Semi-D
RM170,000
Lorong Segari Maju 3
2,540 sqft · RM67 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Segari Maju

What’s happening in Taman Segari Maju?

No posts about Taman Segari Maju yet. Be the first to share what’s happening here.

Nearby areas in Segari

Taman Segari Maju

4 txns · RM295,000

4RM295,000
RM132

Taman Segari

1 txns · RM85,000

1RM85,000
RM57

Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Segari

Loading map...

TAMAN SEGARI MAJU, Segari, Manjung, Perak, Malaysia

Taman Segari Maju in Manjung, Perak recorded 4 subsale transactions between 2021 and 2026, with a median price of RM295K and a median price per square foot (PSF) of RM147.

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 RM295K, with most transactions falling within a stable range of RM252K to RM338K, and a typical market range of RM266K to RM325K.

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

The median PSF stands at RM147, with core pricing between RM129 and RM165. Market pricing typically extends from RM133.19 to RM160.19, reflecting moderate variation in unit pricing. With an IQR of RM27.00 and MAD of RM18, 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.